BioMed Research International
Volume 2018 (2018), Article ID 1653721, 18 pages
https://doi.org/10.1155/2018/1653721

Review Article

Relationship between High Temperature and Formation of Chalkiness and Their Effects on Quality of Rice

A. Y. M. Nevame,¹ R. M. Emon,² M. A. Malek,² M. M. Hasan,2,3 Md. Amirul Alam,⁴ Farrah Melissa Muharam,⁵ Farzad Aslani,⁶ M. Y. Rafii,3,6 and M. R. Ismail³

¹State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China
²Bangladesh Institute of Nuclear Agriculture, BAU Campus, Mymensingh 2202, Bangladesh
³Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia
⁴School of Agriculture Science and Biotechnology, Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia
⁵Laboratory of Science and Technology, Institute of Plantation Studies, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia
⁶Department of Crop Science, Faculty of Agriculture, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

Correspondence should be addressed to M. R. Ismail; razi@upm.edu.my

Received 9 November 2017; Accepted 24 January 2018; Published 1 April 2018

Academic Editor: Rituraj Purohit

Copyright © 2018 A. Y. M. Nevame et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Occurrence of chalkiness in rice is attributed to genetic and environmental factors, especially high temperature (HT). The HT induces heat stress, which in turn compromises many grain qualities, especially transparency. Chalkiness in rice is commonly studied together with other quality traits such as amylose content, gel consistency, and protein storage. In addition to the fundamental QTLs, some other QTLs have been identified which accelerate chalkiness occurrence under HT condition. In this review, some of the relatively stable chalkiness, amylose content, and gel consistency related QTLs have been presented well. Genetically, HT effect on chalkiness is explained by the location of certain chalkiness gene in the vicinity of high-temperature-responsive genes. With regard to stable QTL distribution and availability of potential material resources, there is still feasibility to find out novel stable QTLs related to chalkiness under HT condition. A better understanding of those achievements is essential to develop new rice varieties with a reduced chalky grain percentage. Therefore, we propose the pyramiding of relatively stable and nonallelic QTLs controlling low chalkiness endosperm into adaptable rice varieties as pragmatic approach to mitigate HT effect.

1. Introduction

Rice (Oryza sativa L.) is an important cereal crop worldwide. It is the staple food for more than half of the world’s population [1]. Development of quality rice varieties has been the principle objective throughout the history of plant breeding. A priority issue in many rice-producing areas of the world along with improvements in the standard of living, the demand for superior grain quality is increasing day by day [2–4]. Rice grain quality is a complex characteristic including many components such as appearance, cooking qualities, and eating qualities. Among these properties, consumers often pay most attention to the appearance [5, 6]. Several genetic and environmental factors were shown to influence rice grain appearance, which is usually evaluated as percentage of grains with chalkiness (PGWC) [7].

Chalkiness is reported to occur not only under the complex genetic network regulation [8] but also under the effects of environmental factors, especially heat stress [9, 10]. Generally, different rice cultivars show different PGWC [11]. Studies showed the rice grain quality traits to be polygenic, while many quantitative trait loci (QTLs) associated with grain quality have been identified in rice [12–14]. Although several QTLs of rice grain appearance quality were detected, it is still difficult to fully use these QTLs in rice gene pyramiding breeding. Furthermore, the genetic basis of appearance quality traits is explained by many QTLs with various effects in different environments [15]. In addition, their phenotypic expression is generally affected by pleiotropic effects of genes for nontarget traits [16].

Frequently heat stress occurs concurrently with salinity and drought stresses, which disturb cellular homeostasis and hamper plant growth and developmental process [17–20]. Heat stress was identified as a major inducible factor of chalkiness formation in rice. Expression of heat shock proteins (HSPs) was mentioned as basic metabolic defense in response to heat stress in the plants and other organisms [21, 22] However, ectopic expression of a single heat stress tolerance gene could not completely resolve harmful stress effects on the plant due to the complexity of this trait [21]. Scientists are still concerned about this problem; therefore, they reiterated that efforts are needed to overcome heat stress effect [23, 24]. In this review, the mechanism/pathways of heat stress to cause chalkiness formation in grain are presented. Moreover, genetic approach towards offering a solution for reducing stress effect is also illustrated in Perspectives: Pyramiding of Nonallelic Stable QTLs Controlling Low Chalkiness Formation under HT Condition in Rice.

2. Rice Grain Quality

HT affects both grain yield and quality in rice. Rice quality is an important character that influences its consumption rate, thus enhancing its production. Therefore, the improvement of grain quality becomes a second major concern in rice breeding program after yield. In rice, HT has been reported to reduce grain seed size and yield [29] while also affecting endosperm quality [30]. Rice consumers recognize that different areas produce differing qualities of the rice grain [31–37]. Grain quality is a complex character that is determined by milling recovery, appearance, cooking, eating, and nutritional qualities [38]. Genetic and environmental factors have been reported to influence physical-biochemical properties of grain endosperm [38] as illustrated in this review (Figure 1(a)). Among the grain quality traits, endosperm appearance (chalkiness) remained a principal factor that determines market value of the rice grain. These quality traits are interrelated in that any change in appearance is likely to affect the milling and cooking properties.

Figure 1: Principal environmental causal factors and the mechanism pathways of the chalkiness formation in rice. Up arrows designate upregulation of the starch synthase genes and down arrows designate downregulation of synthase starch genes. Yellow box constituted the causal factor of the chalkiness formation, the purple boxes are the major physiological processes involved in endosperm formation, the light blue represents the regulatory pathways resulting in chalkiness formation, and red box is chalkiness formation. Source: Chen et al. [25].

3. Chalkiness in Rice

Chalkiness is an undesirable trait that negatively affects milling, cooking, eating, and grain appearance and represents a major problem in many rice-producing areas of the world [10, 39–41]. Rice consumers and producers express lack of interest in rice varieties with high degree of chalky grain. For example, chalkiness was reported to have negative influence on farmers’ preference for rice varieties cultivated in Ghana [42]. The percentage of chalkiness in rice grain is an index that determines the appearance quality. Chalky grains were found to contain a lower density of starch granules as compared to vitreous ones [43]. So, for improving the milling and cooking quality, rice endosperm should be free from chalkiness. Different types of chalkiness such as white core, white back, and white belly were reported to be present in the endosperm of rice grain [38].

3.1. Genetic Factors Responsible for Chalkiness Formation in Rice

Chalkiness is an endosperm related quality trait and its inheritance was reported to be controlled by triploid endosperm genotype, diploid maternal genotype, and any additional cytoplasm factors [44–46]. Currently, more than 84 QTLs were reported to be associated with different types of chalkiness in rice [11, 12, 38, 47–49]. Wan et al. [11] detected 22 QTLs for appearance quality traits in recombinant inbred lines and chromosome segment substitution lines. Zheng et al. [50] found a total of 10 genomic regions with one major QTL on chromosome 7 which had large effects on rice grain shape and milling quality traits. The same has been observed consistently in several related rice populations. Hao et al. [3] identified 10 QTLs responsible for rice grain quality and eight QTLs responsible for physicochemical traits with one major QTL on chromosome 8 responsible for the percentage of chalky rice grains in a population of chromosome segment substitution lines. For example, Chalk5 was found as a major QTL encoding a vacuolar H+-translocating pyrophosphatase which determines chalkiness formation in rice [51]. OsPPDKB and starch synthase IIIa (SSIIIa) genes were found to have pleiotropic effects on white-core endosperm [52–54] indicating the relevance of these genes on endosperm formation in rice. The gene OsPPDKB controls the carbon flow into starch and lipid biosynthesis during grain filling [52], while the gene SSIIIa interferes with amylopectin chain elongation [53]. Soluble starch synthase (SSS), starch branching enzyme (SBE), and starch debranching enzyme (DBE) also coordinate their actions for starch biosynthesis (Figure 1(b)). All these genes may interact to produce endosperm; thus disturbance in one function among them could cause metabolic dysfunction and chalkiness formation in plant. However, most of these genetic factors genes/QTLs were not detected under heat stress condition. It is quite obvious to only attribute endosperm appearance to the genetic factors, since rice varieties exhibit different endosperm quality under normal rice growing condition. Zheng et al. [55] used transparent endosperm variety Koshihikari (popular Japonica rice variety cultivated in Japan) and opaque endosperm variety Kasalath (indica variety possessing poor eating and cooking quality) to detect a percentage of grains with chalkiness QTL (PGWC) in rice. Tan et al. [7] detected white-belly chalkiness related QTL in recombinant inbreed lines (RILs) population derived from rice varieties Zhenshan 97 and Minghui 63. Bian et al. [14] identified 2 QTLs on rice chromosome one, which were related to percentage of grains with chalkiness by using introgression lines (ILs) population derived from rice varieties Sasanishiki and Habataki. Some of relatively stable QTLs controlling endosperm quality (chalkiness or opacity) in rice are listed in Table 1. At the same time, we have presented some QTLs related to amylose content and gel consistency, which are other grain characteristics often evaluated concomitantly with chalkiness (Tables 2 and 3).

Table 1: Some major effect and relatively stable QTLs associated with chalkiness trait in rice.

Type of chalkiness
QTLs

Associated markers
Physical map position (Mb)
Parents
Population type
LOD
Add effect
References

Chalkiness
qPGWC.NH-1.1
1
RM7124
24.38
Sasanishiki/Habataki
ILs
4.965
0.22
Bian et al. (2014)

Chalkiness
qPGWC.NH-1.2
1
RM7600
39.16
Sasanishiki/Habataki
ILs
4.546
0.21
Bian et al. (2014)

Chalkiness
qPGWC.NC-2
2
RM5699
8.98
Sasanishiki/Habataki
ILs
4.211
0.17
Bian et al. (2014)

Chalkiness
qPGWC.NC-11
11
RM1341
20.80
Sasanishiki/Habataki
ILs
4.119
0.17
Bian et al. (2014)

Chalkiness
qPGWC.NC-4
4
RM7585
0.21
Sasanishiki/Habataki
ILs
3.929
0.17
Bian et al. (2014)

Chalkiness
qPGWC.HN-9
9
P414D03
d
Sasanishiki/Habataki
ILs
4.198
0.12
Bian et al. (2014)

Chalkiness
qPGWC-5
5
M413–RM169
 d
“N22”/“Nanjing35”
F₂
2.75
−10.37
B. Y. Lu et al. (2013)

Chalkiness
qPGWC-6
6
R2869-R1952
d
Kasalath/Koshihikari
CSSL
8.13
14.77
Zheng et al. (2012)

Chalkiness
qPGWC-2
2
C1419-C560
d
Kasalath/Koshihikari
CSSL
2.68
12.91
Zheng et al. (2012)

Chalkiness
qPGWC-3
3
S879-S1513
d
Kasalath/Koshihikari
CSSL
3.01
8.14
Zheng et al. (2012)

Chalkiness
qCR2
2
RM145-RM3284
4.86–18.55
O. sativa/O. rufipogon
ILs
6.7
−14.6
P. R. Yuan et al. (2010)

Chalkiness
qPGWC-7
7
RM234
17.50
PA64s/9311
CSSL
27.75
22.63
Zhou et al. (2009)

Chalkiness
qPCRG-8 (qDC-8)
8
SA1656-RA2676
d
Koshihikari/Nonabokra
CSSL
NA
−1.96
Hao et al. (2009)

White-back
qWB
3
RM4512
11.28
Hanaechizen/Niigatawase
RILs
4.60
0.73
Kobayashi et al. (2007)

White-back
qWB
4
RM3288
27.51
Hanaechizen/Niigatawase
RILs
4.36
0.53
Kobayashi et al. (2007)

White-back
qWB
6
RM3034
42.57
Hanaechizen/Niigatawase
RILs
13.39
1.14
Kobayashi et al. (2007)

White-back/basal-white
qAPG5-1
5
C10987-RM6645
12.99–15.0
Koshihikari/Kasalath
NA
NA
NA
Ebitani et al. (2006)

White-back/basal-white
qAPG5-2
5
E10886-RM3476
20.13–23.8
Koshihikari/Kasalath
NA
NA
NA
Ebitani et al. (2006)

Basal-white
qBW
2
RM3294
5.20
Koshihikari/Kasalath
NA
12.4
9.6
Ebitani et al. (2005)

Basal-white
qBW1
12
RM1208
1.0
Koshihikari/Kasalath
NA
4.1
7.1
Ebitani et al. (2005)

Chalkiness
qPGWC-8
8
G1149-R727
19.17–26.2
Asominori/IR24
CSSLs
5.2–7.3
21.8–33.7
Wan et al. (2005)

Chalkiness
qPGWC-9
9
XNpb36-XNpb103
1.81–10.
Asominori/IR24
CSSLs
3.0–5.0
16.8–33.8
Wan et al. (2005)

White-core
wc12.1
12
RZ397
5.7
V20A/IRGC 103544
BC₃F₁
3.8
9.87
Li et al. (2004)

White-core
wca3.1
3
RM148
35.7
V20A/IRGC 103544
BC₃F₁
4.5
14.79
Li et al. (2004)

Chalkiness
qCH
1
C161-R753
0.8
Zhenshan 97/Minghui 63
F2:3
2.6
1.97
Tan et al. (2000)

Chalkiness
qCH5-
5
RG360-C734
7.7
Zhenshan 97/Minghui 63
F2:3
29.3
30.91
Tan et al. (2000)

Chalkiness
qCH5-
5
RG528-C1447
27.8
Zhenshan 97/Minghui 63
F2:3
5.8
13.74
Tan et al. (2000)

Chalkiness
qCH
6
R1952-C226
2.9
Zhenshan 97/Minghui 63
F2:3
2.5
8.24
Tan et al. (2000)

Chalkiness
qCH1
10
R2625-C223
21.7
Zhenshan 97/Minghui 63
F2:3
2.5
8.57
Tan et al. (2000)

White-belly
qWB5
5
RG360-C734
10.6
Zhenshan 97/Minghui 63
F2:3
35.2
72.9
Tan et al. (2000)

White-belly
qWB7
7
R1245-R1789
25.8
Zhenshan 97/Minghui 63
F2:3
2.7
24.5
Tan et al. (2000)

White-core
qWC
5
RG360-C734
14.2
Zhenshan 97/Minghui 63
F2:3
4.5
12.2
Tan et al. (2000)

White-core
qWC
6
Wx-R1952
1.7
Zhenshan 97/Minghui 63
F2:3
4.0
9.8
Tan et al. (2000)

Chalkiness
qDEC
4
id4007289-id4008855
22.01–25.15
Lemont/Teqing
RILs
NA
2.8
X. Zhao et al. (2015)

Chalkiness
qPGWC
4
id4007289-id4008855
22.01–25.15
Lemont/Teqing
RILs
NA
9.2
X. Zhao et al. (2015)

Chalkiness
qPGWC
4
id4007289-id4008855
22.01–25.15
Lemont/Teqing
RILs
NA
11.1
X. Zhao et al. (2015)

Chalkiness
qGL7.
7
S07_22019132

Using GWAS
272 rice varieties
NA
−1.04
X. Qiu et al. (2015)

Chalkiness
qGW11.
11
D11_7124485

Using GWAS
272 rice varieties
NA
0.12
X. Qiu et al. (2015)

Chalkiness
qTGW2.
2
S02_30688426

Using GWAS
272 rice varieties
NA
1.78
X. Qiu et al. (2015)

Chalkiness
qBRR2.
2
D02_25652984

Using GWAS
272 rice varieties
NA
−4.75
X. Qiu et al. (2015)

Chalkiness
qDEC1.
1
S01_5811836

Using GWAS
272 rice varieties
NA
11.18
X. Qiu et al. (2015)

Chalkiness
PGC1
10
68923-PGC
NA
Zhenshan 97A/Minghui 63
RILs
NA
NA
X. Liu et al. (2015)

Chalkiness
qPGC8–
8
Bin 393
4.6–26.1
Nipponbare/Zhenshan 97A
CSSL
NA
0.045
W. Sun et al. (2015)

White-belly rate
qWBR
1
RM490-RM600
9.4
Zhenshan 97A/Nanyangzhan
RILs
3.3
12.61
B. Peng et al. (2014)

White-belly rate
qWBR
8
RM264-RM477
28.1
Zhenshan 97A/Nanyangzhan
RILs
3.0
11.05
B. Peng et al. (2014)

White-belly rate
qWBR1
12
RM101-RM519
20
Zhenshan 97A/Nanyangzhan
RILs
3.6
14.55
B. Peng et al. (2014)

Chalkiness rate
qCR
5
MRG5972-RM480
27.2
Zhenshan 97A/DL208
RILs
3.2
10.5
B. Peng et al. (2014)

White-core rate
qWCR
7
RM445-RM418
18.1
Zhenshan 97A/DL208
RILs
2.7
−6.78
B. Peng et al. (2014)

x indicates chromosome in abbreviation; b indicates QTLs named tentatively by Yamakawa et al. (2008) in their report;c indicates physical map position calculated by Yamakawa et al. (2008) in their report; d indicates insufficiency of information to calculate physical map position for the related loci in this report; s indicates relatively stable QTLs detected throughout different growing conditions. NA: data is not available.

Table 2: Certain content QTLs associated with amylose content trait in rice.

QTLs

Associated markers
Parents
Population type
LOD
Add effect
References

qHAC4(HT)
4
M13.4-M
9311/Nipponbare
CSSLs
4.93
NA
Zhang et al. (2014)

qHAC8a(HT)
8
M0.7-M
9311/Nipponbare
CSSLs
6.19
NA
Zhang et al. (2014)

qHAC8b(HT)
8
M8.7-M
9311/Nipponbare
CSSLs
5.59
NA
Zhang et al. (2014)

qHAC10(HT)
10
M19.8-M
9311/Nipponbare
CSSLs
5.20
NA
Zhang et al. (2014)

qDC-8
8
RM5911-SA1656
Koshihikari/Nonabokra
CSSLs
NA
−0.05
Hao et al. (2009)

ac6.1
6
RM314–RM3
Swarna/IRGC81848
BC₂F₂
2.60
0.86
Swamy et al. (2012)

qPCRG-6(qDC-6)
6
RA1952-RA2349
Koshihikari/Nonabokra
CSSLs
NA
5.19
Hao et al. (2009)

qDC-4
4
R1854-RA0288
Koshihikari/Nonabokra
CSSLs
NA
−0.02
Hao et al. (2009)

qAC-8
8
G1149–R727
Asominori and IR25
CSSLs
3.70
1.00
X. Y. Wan et al. (2004)

qAC-9a
9
XNpb36–XNpb103
Asominori and IR26
CSSLs
2.50
1.40
X. Y. Wan et al. (2004)

qAC-9b
9
C609–C506
Asominori and IR27
CSSLs
3.00
0.80
X. Y. Wan et al. (2004)

qAC-12
12
XNpb189-2–XNpb24-2
Asominori and IR28
CSSLs
2.30
0.80
X. Y. Wan (2004)

amy8
8
RM230–RM264
Caiapo/IRGC 103544
DHs
3.10
−1.85
G. Aluko (2004)

amy6
6
RM190–RM253
Caiapo/IRGC 103544
DHs
19.30
−2.60
G. Aluko (2004)

amy3
3
RM7–RM251
Caiapo/IRGC 103544
DHs
3.70
−2.73
G. Aluko (2004)

qAC-6
6
R2869-R1962
Nipponbare/Kasalath
BILs
35.60
−5.28
Li et al. (2003)

qAC-6
6
R2869-R1962
Nipponbare/Kasalath
BILs
43.50
−4.40
Li et al. (2003)

qAC-3
3
R1927-R3226
Nipponbare/Kasalath
BILs
2.50
0.71
Li et al. (2003)

qAC-4
4
C1100-R1783
Nipponbare/Kasalath
BILs
3.20
−0.90
Li et al. (2003)

qAC-5
5
C624-C128
Nipponbare/Kasalath
BILs
2.80
−0.92
Li et al. (2003)

qA
6
RM170
IR64/IRGC105491
BC₂F₂
14.63
−0.88
E. M. Septiningsih et al. (2003)

qAA
7
RG375/RG477
IR64/Azucena
DHs
2.61
0.76
J. S. Bao et al. (2002)

qW
6
R565(F2:3); C952-C1496
Zhenshan 97/Minghui 63
F2:3; RILs
69.00
NA
Y. F. Tan et al. (1999)

qAC-5
5
RG573-C624
ZYQ8/JX17
DHs
2.67
−3.32
P. He et al. (1999)

Wx
6
Wx
ZYQ8/JX17
DHs
28.39
−8.52
P. He et al. (1999)

x indicates chromosome in abbreviation; f indicates amylose content QTL named tentatively in this report; g indicates the associated markers reported based on type of population used; z indicates associated markers tentatively named in this report based on the physical map position of the related QTLs. NA: data is not available; HT: QTL detected for amylose content in response to high temperature.

Table 3: Certain QTLs associated with gel consistency trait detected in rice.

QTLs

Associated markers
Parents
Population ype
LOD
Add effect
References

gc1.1
1
RM499–RM428
Swarna/IRGC81848
BC₂F₂
3.90
5.67
Swamy et al. (2012)

gc1.2
1
RM580–RM81
Swarna/IRGC81848
BC₂F₂
3.20
6.45
Swamy et al. (2012)

gc11.1
11
RM209–RM21
Swarna/IRGC81848
BC₂F₂
2.90
4.25
Swamy et al. (2012)

qGC-1
1
C122-R886
Nipponbare/Kasalath
BILs
3.00
5.34
Li et al. (2003)

qGC-2a
2
R712-G227
Nipponbare/Kasalath
BILs
4.00
6.11
Li et al. (2003)

qGC-2b
2
G1314B-G132
Nipponbare/Kasalath
BILs
2.20
4.47
Li et al. (2003)

qGC-6a
6
L688-G200
Nipponbare/Kasalath
BILs
4.60
−7.65
Li et al. (2003)

qGC-6b
6
C556-R2071
Nipponbare/Kasalath
BILs
2.50
−4.99
Li et al. (2003)

qG
6
RM50
IR64/IRGC 105491
BC₂F₂
4.02
3.57
Septiningsih et al. (2003)

qGC-
1
RG331/RG810
IR64/Azucena
DHs
2.71
−3.70
Bao et al. (2002)

qGC-
7
RG477/PGMSO.7
IR64/Azucena
DHs
3.54
−4.65
Bao et al. (2002)

qG
6
R565(F2:3); C952-C1496
Zhenshan 97/Minghui 63
F2:3; RILs
57.00
NA
Tan et al. (1999)

qGC-2
2
RG171-G243A
ZYQ8/JX17
DHs
4.14
17.60
He et al. (1999)

qGC-7
7
TCT122-RG769
ZYQ8/JX17
DHs
3.26
17.00
He et al. (1999)

x indicates chromosome in abbreviation; f indicates gel consistency QTL named tentatively in this report; g indicates the associated markers reported based on type of population used. NA: data is not available.

3.2. High Temperature Induces Heat Stress That Affects Grain Quality in Rice

The global surface temperature is estimated to have increased between 1.8°C and 4°C over the 21st century [56]. Therefore, during the 40th session of the IPCC held in Paris, global warming is expected to be limited to 2°C by 2015 [57]. The gradual increase of the global temperature is thought to induce heat stress and generate reactive oxygen species in the plant [58]. This oxidative stress causes changes in plant metabolism and further compromises the yield and grain quality. Heat stress is a metabolic dysfunction imposed by higher temperature to the plant organism via biochemical, molecular, and physiological means, which affects cellular and whole-plant developmental process, which results in low crop yield and quality production.

It has been documented that warmer weather during ripening reduces heading rice percentage, deteriorating grain appearance, and worsens palatability due to chalkiness in rice grains [47, 59, 60]. Tashiro and Wardlaw [61] observed that temperatures higher than 26°C could easily cause chalky appearance and a reduction in grain weight. Okada et al. [62] have established the model for the multiple effects of temperature and radiation during the rice ripening period. They reported that an increase in temperature has a negative effect on rice grain quality, whereas an increase in radiation has a positive effect. In addition, these authors indicated that at temperature less than 21°C, most rice quality showed a high percentage of first-grade rice across the range of radiation, but at each temperature higher than 21°C, the decline of rice quality at lower radiation levels becomes increasingly pronounced. In conclusion, Okada et al. [62] stated that the sensitivity of rice quality to insufficient radiation increases as temperature increases. Tsukimori [63] reported that chalky grains increase sharply in number when the mean daily minimum temperature for 20 days after heading exceeds 23°C. Lanning et al. [9] have also confirmed the negative influence of night temperature on grain quality. Lyman et al. [64] reported that an increase of 1°C in average growing season temperature affects significantly the chalky and broken kernels rate in rice. High temperatures during grain filling process affect starch and protein storage, which result in a loosely parked starch granule deposition and thus increase chalky grains formation (Figure 1(b)). For example, Zakaria et al. [65] mentioned that higher temperature reduces the amount of large mature amyloplasts in the endosperm and increases the number of small immature ones. Yamakawa et al. [26] indicated that high temperature impairs grain filling by inhibiting the deposition of storage materials such as starch and protein in rice. This statement was supported by Gao et al. [66] who revealed that heat stress is responsible for the variation of amylose and protein contents in rice. So, it is understandable that heat stress reduces grain filling, which results in grain quality damage.

Morita and Nakano [67] have also reported that the occurrence of chalky grains under high temperatures is attributable mainly to the inhibition of starch accumulation. Moreover, these authors pointed out that the daily mean temperatures exceeding 26°C during the grain-filling period have caused chalkiness in the grains of Japonica cultivars. Lur et al. [68] described that cumulative temperature above 26°C within 15 days after heading can be regarded as an index of the extent of chalky grains. Wakamatsu et al. [69, 70] not only revealed that the ratios of white-back (WB) and basal-white (BW) grains increased when the average temperature during ripening exceeds 27°C but also noted the great variation in chalky grains ratio among Japonica rice cultivars under high-temperature conditions. Tsubone et al. [71] and Wakamatsu et al. [69, 70] indicated that the ratio of WB and BW grains increases if average air temperature during ripening exceeds 27°C. Wakamatsu et al. [72] reported that shading treatment mitigated the occurrence of WB in rice. Wada et al. [73] have detected some chalkiness related QTLs when air temperature exceeds 27°C (Table 4).

Table 4: Certain white-back chalkiness related QTLs detected under heat stress condition in rice.

QTLs

Associated markers
Physical map position (Mb)

Heat treatment condition
Population type
LOD
Add effect
References

qWB1
1
RM7075
15.10
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
4.02
–3.82
Takuya et al. (2015)

qWB8
8
RM72
18.75
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
4.34
–1.44
Takuya et al. (2015)

qBW2
2
RM5470
27.17
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
2.93
–1.17
Takuya et al. (2015)

qBW6
6
RM20429
25.04
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
2.78
1.40
Takuya et al. (2015)

qBW12
12
RM1986
21.28
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
3.35
1.60
Takuya et al. (2015)

qWB3
3
RM4853
1.37
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
8.90
–8.39
Takuya et al. (2015)

qWB8
8
RM3689
19.33
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
2.21
–4.45
Takuya et al. (2015)

qBW3
3
RM4853
1.37
Tsukushiroman/Chikushi 52
>27°C (irrigated with hot water, 35°C)
RILs
4.59
–1.41
Takuya et al. (2015)

qWB3
3
RM4383
14.72
Niigatawase/Hanaechizen
>27°C
RILs
5.18
−3.11
Kobayashi et al. (2007, 2013)

qWB4
4
RM3288
27.51
Niigatawase/Hanaechizen
>27°C
RILs
4.30
−2.42
Kobayashi et al. (2007, 2013)

qWB6
6
RM8125
3.16
Niigatawase/Hanaechizen
>27°C
RILs
18.11
−5.40
Kobayashi et al. (2007, 2013)

qWB9
9
RM2482
22.27
Niigatawase/Hanaechizen
>27°C
RILs
7.63
4.35
Kobayashi et al. (2007, 2013)

qGH
6
RM3034
4.25
Niigatawase/Hanaechizen
>27°C
RILs
7.80
0.19
Kobayashi et al. (2007, 2013)

qWK1-1
1
RM8068
1.65
Chiyonishiki/Koshijiwase
25–27°C at night/30–32°C at daylight
RILs
3.4
8.9
Tabata et al. (2007)

qWK1-2
1
RM5501
34.54
Chiyonishiki/Koshijiwase
25–27°C at night/30–32°C at daylight
RILs
5.6
15.0
Tabata et al. (2007)

qWK2
2
RM5916
34.08
Chiyonishiki/Koshijiwase
25–27°C at night/30–32°C at daylight
RILs
3.8
9.3
Tabata et al. (2007)

qWK8
8
RM2680
0.14
Chiyonishiki/Koshijiwase
25–27°C at night/30–32°C at daylight
RILs
3.6
9.2
Tabata et al. (2007)

qWBHT
1
S13781
35.1
Kokoromachi/Tohoku 168
NA
NA
4.3
4.6
Shirasawa et al. (2006)

qWBHT
6
WxCT
1.7
Tohoku 168/Kokoromachi
NA
NA
8.6
5.6
Shirasawa et al. (2006)

x indicates chromosome in abbreviation; b indicates QTLs named tentatively by Yamakawa et al. (2008) in their report;c indicates physical map position calculated by Yamakawa et al. (2008) in their report; d indicates parent with decreasing chalky grain percentage allele. NA: data is not available.

Afterwards, Liu et al. [74] indicated that heat stress affects the principal biological functions of grain endosperm formation such as carbohydrate synthesis, proteins formation/degradation, redox homeostasis, and cell defense (Figure 1(b))

Yamakawa et al. [26, 27] have conducted a transcriptome analysis and elucidated the molecular mechanism responsible for grain chalkiness and high-temperature-responsive genes. They observed that expression of genes controlling synthesis of starch and storage proteins was decreased by high temperature, while the expression of the genes related to starch decomposition and heat stress response were increased (Figure 2). To elucidate, Yamakawa et al. [27] have compared the chromosomal location of certain high-temperature-responsive genes to that of grain chalkiness QTLs. These authors found that some high-temperature-responsive genes are located in the vicinity of QTLs determining grain chalkiness. Thus, Yamakawa et al. [27] have localized several starch/carbohydrate-metabolizing enzyme genes on chromosome 8, especially AGPS2 (ADP-glucose pyrophosphorylase 2) between RM3181 and RM3689, which covered inner region of HT-sensitive QTLqWB8 controlling chalkiness (white-back) in rice. Taken together, it appears that endosperm formation is a result of interaction between environment and genetic factors. For that reason, Lyman et al. [64] described HT as an important factor that determines the quantity and market value of milled rice. Heat stress regulates starch synthase enzymes activities in the plant. The effect of drought and temperature on expression of starch biosynthesis-related genes, such as GBSS, SBEs, and BEIIb, and amylases can directly or indirectly influence chalkiness formation in rice as mentioned by Chen et al. [25]. It can be preceded by reduction in activity of GBSS, SBEs, and BEIIb, while that of amylases increases [26, 75–78]. Heat stress was found to decrease prolamin content in rice due to the reduction in expression of its encoded genes, Pro1 and Pro2 [26, 38, 79]. It is clear that HT is one of the principal factors that induce chalkiness.

Figure 2: Heat stress affects HS responsive and starch-metabolizing genes. HS: heat shock. Arrows in bold indicate the mechanism pathways described by Yamakawa et al. [26, 27]. Dashed arrows are unclear regulation pathways or genetic interaction, which may be responsible for the chalkiness formation. Sample arrows represent HS effects transduction that leads to expression of HS protein genes expression [28]. ROS: reactive oxygen species.

But, in order to mitigate effects of heat stress, plants need to restore metabolic damage by deploying appropriate metabolic pathways against oxidative stress. In this case, plants activate stress-responsive genes and generate antioxidant metabolites or heat shock protein (HSP) to reduce the harmful effects of heat [28, 80]. The HSPs were grouped into five families based on their molecular weights, HSP100s, HSP90s, HSP70s, HSP60s, and sHSPs, which have different degrees of performance across rice varieties [81]. Due to variant allelic interaction between living organisms, plants are different in terms of response to abiotic and biotic stress. While heat stress acts in complex manner, which affects simultaneously different metabolic pathways in plants, they need multiple responsive factors to restore damage caused by stress. Therefore, manipulation of multiple genes to overcome stress effect could be more reliable. Breeding efforts should then be directed to enhance metabolic defenses in plants in order to prevent damage caused by heat stress which eventually hampers the quality of rice produced.

3.3. QTLs Associated with Chalkiness under HT Condition

In previous studies, some chalkiness induced QTLs were screened out under high temperature condition in rice. These QTLs accelerate formation of chalkiness under HT condition. In this case, Kobayashi et al. [47] detected QTLs for white-back chalkiness on rice chromosomes 3, 4, and 6 by using recombinant inbred lines (RILs) derived from a cross between two strains of rice, heat stress-tolerant strain (Koshijiwase) and heat stress-sensitive strain (Chiyonishiki). In addition, Tabata et al. [60] identified QTLs for white-back chalkiness on chromosomes 1, 2, and 8 in RILs populations derived from a cross between heat stress-tolerant variety (Hanaechizen) and heat stress-sensitive variety (Niigatawase). Wada et al. [73] have identified 6 QTLs for white-back grains and basal-white grains on chromosomes 1, 2, 3, 8, and 12 under heat stress condition between two strains of rice: heat-tolerant variety (Chikushi 52) and heat stress-sensitive variety (Tsukushiroman). The QTL allele qWB8 from Chikushi 52 variety was indicated to be important for improving grain quality under heat stress conditions [73]. Some stable HT induced chalkiness related QTLs are also mentioned in this review (Table 4). Moreover, various thermotolerant QTLs that were not directly related to chalkiness have been also identified in rice [30, 82–84]. For example, 4 QTLs that maintained proper rice amylose content at high temperature were detected from Indica rice variety 9311 (Table 2). Moreover, these QTLs were supposed to be essential for breeding heat-stable grain in rice [84]. These QTLs could constitute a potential genetic resource to improve this trait in rice.

3.4. Thermotolerant QTLs Unrelated to Chalkiness

A rice spotted leaf gene Spl7 which encoded a transcription factor protein was mapped in Japanese rice cultivar Norin 8 as a heat stress-tolerant gene [85]. Heat tolerance QTL (qHT4) located on the chromosome region C1100-R1783 of the rice variety Kasalath was found to be stable over different environments [86]. The rice gene OsHsfA2e, a member of the heat stress transcription factors, when introduced into Arabidopsis line R04333 increased tolerance to heat stress. This gene was found to be useful in molecular breeding for stress tolerance improvement in crops [87]. High root activity and antioxidative defenses were reported as heat tolerance traits in indica rice cultivars Shuanggui and Huanghuazhan [30]. The reduced accumulation of ROS in leaf was observed in aus rice cultivar Nagina 22 under 40°C heat conditions [83]. Recently, major quantitative trait locus (OgTT1) with higher thermotolerance has been identified in African rice O. glaberrima accession CG14. This gene encodes α2 subunit of the 26S proteasome, which protects cells from heat stress through more efficient elimination of cytotoxic denatured proteins. This gene was demonstrated to have more effective maintenance of heat-response processes than its counterparts (OsTT1) in O. sativa [88]. These QTLs may also constitute a genetic reservoir to improve indirectly this trait in rice.

4. Genetic Approaches to Reduce Heat Stress Effect on Plant

Zou et al. [89] proposed a combination of transcriptomic, proteomic, and metabolomic approaches to characterize regulation network in response to heat stress in rice. Moreover, stress tolerance in plant was reported to be dependable on expression of heat stress-tolerant genes [90]. Due to the complex mechanism pathways underlying heat stress occurrence in rice, exploitation of different thermotolerant germplasms could be crucial to reduce stress effect. Since there are allelic or nonallelic relations between rice varieties for multiple traits, crossing the rice varieties with nonallelic relationship for heat tolerance could help to gather in one recipient plant different heat tolerance related genes. Pyramiding the nonallelic heat tolerance QTLs is regarded more accurate to alleviate chalkiness problem under heat stress. This suggests that plant thermotolerance ability could be enhanced by breeding efforts, even though it is a complicated and complex trait.

5. Perspectives: Pyramiding of Nonallelic Stable QTLs Controlling Low Chalkiness Formation under HT Condition in Rice

It is clear that the gradual increase of the global warming affects not only grain yield but also the quality of rice. It is worth noting that an increase of temperature during the growing season of rice can accelerate the formation of the chalkiness phenomenon. Numerous studies have shed light on the genetic mechanism that regulates the heat stress response in rice. In general, many cultivated rice varieties were selected as potential donor parents of stress-tolerant QTLs (Asian rice varieties such as Kasalath, Chikushi 52, Hanaechizen, and Koshijiwase and African rice accession CG14). However, up to date, no rice variety was certified to be completely tolerant to an increasing world temperature, so breeders are still concerned about the heat stress issue in rice production. Detection and insertion of de novo heat tolerance gene into a given rice germplasm could somewhat alleviate heat stress effects on the endosperm but not truly possible definitely due to their complex metabolism pathways. Chalkiness occurrence depends on multiple genes, of which expression pathways are poorly understood. The expressions of chalkiness related genes were described to be affected under heat stress condition. Meanwhile, some heat-responsive genes and the QTLs related to starch metabolism, protein storage, and chalkiness were documented to be colocated in rice genome assets of QTLs. Expression of heat stress-responsive genes increases, while that of starch metabolism and protein storage decreased under high-temperature condition as highlighted in Figure 1(b). We speculated that this opposite expression pattern might be coordinated by an upstream regulator, which acts in heat response and carbohydrates/protein synthesis pathways under high-temperature condition. Otherwise, this may be due to genetic interactions (gene-gene, gene-protein, and protein-protein) between high-temperature responsive genes and QTLs related to starch metabolism, protein storage, and chalkiness formation. It appears that the disturbance of metabolic function begins when internal plant temperature exceeds 27°C (Figure 2). However, more studies will be needed to verify and clarify this statement. These sets of QTLs, including heat-responsive QTLs, starch-metabolizing QTLs, and chalkiness related QTLs, were distributed throughout rice genome [27]. For this reason, modifying expression of a single QTL is unlikely to modify a whole regulatory mechanism that is involved in chalkiness formation. It is understandable that the collection and combination of different nonallelic heat-tolerant QTLs would be a prerequisite for restoring the abnormal genetic interactions between heat stress-responsive and starch-metabolizing QTLs. In this review, the detection of chalkiness and HT induced chalkiness related QTLs is demonstrated to be increasing over the time, while the evolution of the amylose content and gel consistency related QTLs is slowed, meaning that chalkiness problem is very important and still remains incompletely solved. In this review, chromosome covering analysis of some stable HT induced chalkiness related QTLs is an example of the hope for finding new QTLs given that some chromosomes (5, 7, 10, and 11) are not yet fully explored and exploited (Figure 3). However, this requires the collection and screening of different rice germplasm without neglecting the available HT-tolerant varieties. This review demonstrates the possibility to still identify novel QTLs, which can be useful in alleviating the chalkiness problem. Therefore, we propose a pragmatic genetic approach like assembly of germplasm with considerable heat tolerance ability and the pyramiding of these QTLs into adaptable rice varieties (Figure 4). The current approach involves exploiting the synergic heat tolerance effects of these sets of QTLs. Richard [91] and Hasanuzzaman et al. [92] reported that gene pyramiding could improve traits whose controlling gene has been identified or not identified. Gene pyramiding via marker-assisted selection can be proposed as a potentially good method due to its effectiveness to combat the chalkiness issue.

(a)

(b)

(c)

Figure 3: Distribution and evolution of relatively stable QTLs related to chalkiness, amylose content, gel consistency, and high temperature-induced chalkiness QTLs. (a) Distribution of stable quality related QTLs over the 12 rice chromosomes. (b) Evolution of some of the relatively stable QTLs reported in rice. (c) Proportion of each of quality trait related QTLs as compared with the total 4 rice quality related QTLs studied (diagram showing the percentage of each type of QTLs among the 4 stable grain quality QTLs studied).

Figure 4: Proposed approach for mitigating heat stress damage in plant. (1) Oxidative stresses from higher temperature. (2) Reactive oxygen species production. (3) Heat stress signal transduction in the plant and change in metabolic activity and genes expression. (4) Plant response to heat stress. (5) Heat stress tolerance via the natural metabolic defense. (6) Defect in HS tolerance and chalkiness formation. Heat stress tolerance via heat tolerance genes pyramiding. Stress tolerance and less chalky grain formation. Heat stress effect on plant fertility and yield reduction. Heat stress on plant water content. Water lost and grain filling rate (GFR) reduction. Effect of GFR on grain yield. Effect of GFR on chalkiness formation in rice. Yellow lines indicated detrimental effect of HS on the rice plant with weak tolerance. Green lines showed tolerance for the HS from strengthened metabolic defense. Black lines indicate the detrimental action of ROS and transcriptional responsiveness of the plant.

Reduction in percentage of chalkiness can ensure production of rice grains with good quality. This review presented genetic and enzymatic factors that are associated with chalkiness formation. Moreover, the colocalization of high-temperature-responsive QTLs and that of chalkiness and starch metabolism offer explanations for deterioration of the grain endosperm under heat stress condition. For this reason, we propose pyramiding of stable nonallelic thermoresistant QTLs associated with low chalky rate into one rice variety as a solution to reduce chalky grain formation rates in rice. Furthermore, we suggest subsequent research studies to be conducted which can unlock knowledge to better understand genetic interactions that exist between high-temperature-responsive QTLs and those controlling chalkiness or starch metabolism.

Conflicts of Interest

The authors declare that they have no conflicts of interest concerning this article.

Authors’ Contributions

A. Y. M. Nevame and R. M. Emon contributed equally to the article.

Acknowledgments

The authors thank the staff of State Key Laboratory of Rice Biology, China National Rice Research Institute (CNRRI). They are grateful to Chinese Academy of Agricultural Sciences for implementation of Research Funding Programs that support many projects on rice quality improvement in CNRRI. The authors also sincerely acknowledge the Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia, for the initiative to publish this manuscript.

References

B. Marathi, S. Guleria, T. Mohapatra et al., “QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.),” BMC Plant Biology, vol. 12, article no. 137, 2012.

B. O. Juliano, C. M. Perez, and A. M. Kaosa, “Grain quality characteristics of export rice in selected markets,” Cereal Chemistry, vol. 67, pp. 192–197, 1990.

W. Hao, M.-Z. Zhu, J.-P. Gao, S.-Y. Sun, and H.-X. Lin, “Identification of quantitative trait loci for rice quality in a population of chromosome segment substitution lines,” Journal of Integrative Plant Biology, vol. 51, no. 5, pp. 500–512, 2009.

M. M. Hasan, M. Y. Rafii, M. R. Ismail et al., “Introgression of blast resistance genes into the elite rice variety MR263 through marker-assisted backcrossing,” Journal of the Science of Food and Agriculture, vol. 96, no. 4, pp. 1297–1305, 2016.

B. Rabiei, M. Valizadeh, B. Ghareyazie, M. Moghaddam, and A. J. Ali, “Identification of QTLs for rice grain size and shape of Iranian cultivars using SSR markers,” Euphytica, vol. 137, no. 3, pp. 325–332, 2004.

T. Guo, X. Liu, X. Wan et al., “Identification of a stable quantitative trait locus for percentage grains with white chalkiness in rice (Oryza sativa),” Journal of Integrative Plant Biology, vol. 53, no. 8, pp. 598–607, 2011.

Y. F. Tan, Y. Z. Xing, J. X. Li, S. B. Yu, C. G. Xu, and Q. Zhang, “Genetic bases of appearance quality of rice grains in Shanyou 63, an elite rice hybrid,” Theoretical and Applied Genetics, vol. 101, no. 5-6, pp. 823–829, 2000.

S. P. dos Reis, A. M. Lima, and C. R. B. de Souza, “Recent molecular advances on downstream plant responses to abiotic stress,” International Journal of Molecular Sciences, vol. 13, no. 7, pp. 8628–8647, 2012.

S. B. Lanning, T. J. Siebenmorgen, P. A. Counce, A. A. Ambardekar, and A. Mauromoustakos, “Extreme nighttime air temperatures in 2010 impact rice chalkiness and milling quality,” Field Crops Research, vol. 124, no. 1, pp. 132–136, 2011.

T. J. Siebenmorgen, B. C. Grigg, and S. B. Lanning, “Impacts of Preharvest factors during kernel development on rice quality and functionality,” Annual Review of Food Science and Technology, vol. 4, no. 1, pp. 101–115, 2013.

X. Y. Wan, J. M. Wan, J. F. Weng et al., “Stability of QTLs for rice grain dimension and endosperm chalkiness characteristics across eight environments,” Theoretical and Applied Genetics, vol. 110, no. 7, pp. 1334–1346, 2005.

Z. Li, J. Wan, J. Xia, and M. Yano, “Mapping of quantitative trait loci controlling physico-chemical properties of rice grains (Oryza Sativa L.),” Breeding Science, vol. 53, no. 3, pp. 209–215, 2003.

G.-H. Jiang, X.-Y. Hong, C.-G. Xu, X.-H. Li, and Y.-Q. He, “Identification of quantitative trait loci for grain appearance and milling quality using a doubled-haploid rice population,” Journal of Integrative Plant Biology, vol. 47, no. 11, pp. 1391–1403, 2005.

J. Bian, C. Li, H. He, H. Shi, and S. Yan, “Identification and analysis of QTLs for grain quality traits in rice using an introgression lines population,” Euphytica, vol. 195, no. 1, pp. 83–93, 2014.

X. Xie, M.-H. Song, F. Jin et al., “Fine mapping of a grain weight quantitative trait locus on rice chromosome 8 using near-isogenic lines derived from a cross between Oryza sativa and Oryza rufipogon,” Theoretical and Applied Genetics, vol. 113, no. 5, pp. 885–894, 2006.

M.-O. Woo, T.-H. Ham, H.-S. Ji et al., “Inactivation of the UGPase1 gene causes genic male sterility and endosperm chalkiness in rice (Oryza sativa L.),” The Plant Journal, vol. 54, no. 2, pp. 190–204, 2008.

J. Beator and K. Kloppstech, “Heat-induced photomorphogenesis and circadian rhythmicity in Messenger-RNA Levels and greening capacity in barley,” Photosynthesis Research, vol. 34, pp. 182–182, 1992.

N. Cheikh and R. J. Jones, “Disruption of maize kernel growth and development by heat stress. Role of cytokinin/abscisic acid balance,” Plant Physiology, vol. 106, no. 1, pp. 45–51, 1994.

E. Pressman, M. M. Peet, and D. M. Pharr, “The effect of heat stress on tomato pollen characteristics is associated with changes in carbohydrate concentration in the developing anthers,” Annals of Botany, vol. 90, no. 5, pp. 631–636, 2002.

M. A. B. Wallwork, C. F. Jenner, S. J. Logue, and M. Sedgley, “Effect of high temperature during grain-filling on the structure of developing and malted barley grains,” Annals of Botany, vol. 82, no. 5, pp. 587–599, 1998.

B. Vinocur and A. Altman, “Recent advances in engineering plant tolerance to abiotic stress: achievements and limitations,” Current Opinion in Biotechnology, vol. 16, no. 2, pp. 123–132, 2005.

S. Kotak, J. Larkindale, U. Lee, P. von Koskull-Döring, E. Vierling, and K.-D. Scharf, “Complexity of the heat stress response in plants,” Current Opinion in Plant Biology, vol. 10, no. 3, pp. 310–316, 2007.

R. Alcázar, F. Marco, J. C. Cuevas et al., “Involvement of polyamines in plant response to abiotic stress,” Biotechnology Letters, vol. 28, no. 23, pp. 1867–1876, 2006.

T. J. Flowers and A. R. Yeo, “Breeding for salinity resistance in crop plants: where next?” Australian Journal of Physiotherapy, vol. 22, no. 6, pp. 875–884, 1995.

Y. Chen, M. Wang, and P. B. Ouwerkerk, “Molecular and environmental factors determining grain quality in rice,” Food and Energy Security, vol. 1, no. 2, pp. 111–132, 2012.

H. Yamakawa, T. Hirose, M. Kuroda, and T. Yamaguchi, “Comprehensive expression profiling of rice grain filling-related genes under high temperature using DNA microarray,” Plant Physiology, vol. 144, no. 1, pp. 258–277, 2007.

H. Yamakawa, T. Ebitani, and T. Terao, “Comparison between locations of QTLs for grain chalkiness and genes responsive to high temperature during grain filling on the rice chromosome map,” Breeding Science, vol. 58, no. 3, pp. 337–343, 2008.

S. K. Calderwood, Y. Wang, X. Xie et al., “Signal transduction pathways leading to heat shock transcription,” Signal Transduction Insights, vol. 2, pp. 13–2, 2010.

J. Jing, B. K. Folsom, X. J. Hao, D. Wang, and H. Walia, “Rice FIE1 regulates seed size under heat stress by controlling early endosperm development,” Plant Physiology, vol. 10, pp. 110–113, 2009.

H. Duan, Q. I. Tang, C. X. Ju, L. J. Liu, and J. C. Yang, “Effects of high temperature and drought on grain yield and quality of different rice varieties during heading and early grain filling periods,” China Agriculture Science, vol. 22, pp. 4561–4571, 2012.

J. Bao, X. Kong, J. Xie, and L. Xu, “Analysis of genotypic and environmental on rice starch. 1. Apparent amylose content, pasting viscosity, and gel texture,” Journal of Agricultural and Food Chemistry, vol. 52, no. 19, pp. 6010–6016, 2004.

J. Bao, M. Sun, L. Zhu, and H. Corke, “Analysis of quantitative trait loci for some starch properties of rice (Oryza sativa L.): thermal properties, gel texture and swelling volume,” Journal of Cereal Science, vol. 39, no. 3, pp. 379–385, 2004.

J. S. Bao, H. Corke, and M. Sun, “Microsatellites, single nucleotide polymorphisms and a sequence tagged site in starch-synthesizing genes in relation to starch physicochemical properties in nonwaxy rice (Oryza sativa L.),” Theoretical and Applied Genetics, vol. 113, no. 7, pp. 1185–1196, 2006.

J. S. Bao, H. Corke, and M. Sun, “Nucleotide diversity in starch synthase IIa and validation of single nucleotide polymorphisms in relation to starch gelatinization temperature and other physicochemical properties in rice (Oryza sativa L.),” Theoretical and Applied Genetics, vol. 113, no. 7, pp. 1171–1183, 2006.

D. K. Cameron, Y.-J. Wang, and K. A. Moldenhauer, “Comparison of physical and chemical properties of medium-grain rice cultivars grown in California and Arkansas,” Journal of Food Science, vol. 73, no. 2, pp. C72–C78, 2008.

P. Sharifi, H. Dehghani, A. Mumeni, and M. Moghaddam, “Genetic and genotype × environment interaction effects for appearance quality of rice,” Agricultural Sciences in China, vol. 8, no. 8, pp. 891–901, 2009.

K. Shirasawa, T. Sekii, Y. Ogihara et al., “Identification of the chromosomal region responsible for high-temperature stress tolerance during the grain-filling period in rice,” Molecular Breeding, vol. 32, no. 1, pp. 223–232, 2013.

P. R. Chandusingh, N. K. Singh, K. V. Prabhu, K. K. Vinod, and A. K. Singh, “Molecular mapping of quantitative trait loci for grain chalkiness in rice (Oryza sativa L.),” Indian Journal of Genetics and Plant Breeding, vol. 73, no. 3, pp. 244–251, 2013.

M. A. Fitzgerald, S. R. McCouch, and R. D. Hall, “Not just a grain of rice: the quest for quality,” Trends in Plant Science, vol. 14, no. 3, pp. 133–139, 2009.

N. Singh, N. S. Sodhi, M. Kaur, and S. K. Saxena, “Physico-chemical, morphological, thermal, cooking and textural properties of chalky and translucent rice kernels,” Food Chemistry, vol. 82, no. 3, pp. 433–439, 2003.

F. M. Cheng, L. J. Zhong, F. Wang, and G. P. Zhang, “Differences in cooking and eating properties between chalky and translucent parts in rice grains,” Food Chemistry, vol. 90, no. 1-2, pp. 39–46, 2005.

M. D. Asante, B. O. Asante, G. K. Acheampong et al., “Grain quality and determinants of farmers preference for rice varietal traits in three districts of Ghana: implications for research and policy,” Journal of Development and Agricultural Economics, vol. 5, no. 7, pp. 284–294, 2013.

A. R. Del Rosario, V. P. Briones, A. J. Vidal, and B. O. Juliano, “Composition and endosperm structure of developing and mature rice kernel,” Cereal Chemistry, vol. 45, pp. 225–235, 1968.

H. S. Pooni, I. Kumar, and G. S. Khush, “A comprehensive model for disomically inherited metrical traits expressed in triploid tissues,” Heredity, vol. 69, no. 2, pp. 166–174, 1992.

J. Zhu and B. S. Weir, “Analysis of cytoplasmic and maternal effects. II. Genetic models for triploid endosperms,” Theoretical and Applied Genetics, vol. 89, no. 2-3, pp. 160–166, 1994.

H. D. Mo, “Identification of genetic control for endosperm traits in cereals,” ActaGeneticaSinica, vol. 22, pp. 126–132, 1995.

A. Kobayashi, B. Genliang, Y. Shenghai, and K. Tomita, “Detection of quantitative trait loci for white-back and basal-white kernels under high temperature stress in japonica rice varieties,” Breeding Science, vol. 57, no. 2, pp. 107–116, 2007.

L. Zhou, L. Chen, L. Jiang et al., “Fine mapping of the grain chalkiness QTL qPGWC-7 in rice (Oryza sativa L.),” Theoretical and Applied Genetics, vol. 118, no. 3, pp. 581–590, 2009.

X. Liu, Y. Wang, and S. W. Wang, “QTL analysis of percentage of grains with chalkiness in Japonica rice (Oryza sativa).,” Genetics and Molecular Research, vol. 11, no. 1, pp. 717–724, 2012.

T. Q. Zheng, J. L. Xu, Z. K. Li, H. Q. Zhai, and J. M. Wan, “Genomic regions associated with milling quality and grain shape identified in a set of random introgression lines of rice (Oryza sativa L.),” Plant Breeding, vol. 126, no. 2, pp. 158–163, 2007.

Y. Li, C. Fan, Y. Xing et al., “Erratum: Chalk5 encodes a vacuolar H+-translocating pyrophosphatase influencing grain chalkiness in rice (Nature Genetics (2014) 46 (398-404)),” Nature Genetics, vol. 46, no. 6, p. 657, 2014.

H.-G. Kang, S. Park, M. Matsuoka, and G. An, “White-core endosperm floury endosperm-4 in rice is generated by knockout mutations in the C4-type pyruvate orthophosphate dikinase gene (OsPPDKB),” The Plant Journal, vol. 42, no. 6, pp. 901–911, 2005.

N. Fujita, M. Yoshida, T. Kondo et al., “Characterization of SSIIIa-deficient mutants of rice: the function of SSIIIa and pleiotropic effects by SSIIIa deficiency in the rice endosperm,” Plant Physiology, vol. 144, no. 4, pp. 2009–2023, 2007.

N. Ryoo, C. Yu, C.-S. Park et al., “Knockout of a starch synthase gene OsSSIIIa/Flo5 causes white-core floury endosperm in rice (Oryza sativa L.),” Plant Cell Reports, vol. 26, no. 7, pp. 1083–1095, 2007.

L. Zheng, W. Zhang, S. Liu et al., “Genetic relationship between grain chalkiness, protein content, and paste viscosity properties in a backcross inbred population of rice,” Journal of Cereal Science, vol. 56, no. 2, pp. 153–160, 2012.

J. H. Christensen, B. Hewitson, A. Busuioc, A. Chen, and X. Gao, “Regional climate projections,” in Climate Change 2007: The Physical Science Basis. “Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change", Cambridge University Press, New York, NY, USA, 2007.

IPCC, “Fortieth session of intergovernmental panel on climate change,” (IPCC-40). Copenhagen, Denmark, IPCC-XL/Doc. 3 (3.IX.2014) Agenda Item: 2, 2014.

C. E. Bita and T. Gerats, “Plant tolerance to high temperature in a changing environment: scientific fundamentals and production of heat stress-tolerant crops,” Frontiers in Plant Science, vol. 4, no. 273, 2013.

A. Chun, J. Song, K. Kim, and H. Lee, “Quality of head and chalky rice and deterioration of eating quality by chalky rice,” Journal of Crop Science and Biotechnology, vol. 12, no. 4, pp. 239–244, 2009.

M. Tabata, H. Hirabayashi, Y. Takeuchi, I. Ando, Y. Iida, and R. Ohsawa, “Mapping of quantitative trait loci for the occurrence of white-back kernels associated with high temperatures during the ripening period of rice (Oryza sativa L.),” Breeding Science, vol. 57, no. 1, pp. 47–52, 2007.

T. Tashiro and I. Wardlaw, “The effect of high temperature on kernel dimensions and the type and occurrence of kernel damage in rice,” Australian Journal of Agricultural Research, vol. 42, no. 3, pp. 485–496, 1991.

M. Okada, T. Iizumi, Y. Hayashi, and M. Yokozawa, “Modeling the multiple effects of temperature and radiation on rice quality,” Environmental Research Letters, vol. 6, no. 3, Article ID 034031, 2011.

H. Tsukimori, “Effects of high temperature on the rice production and the technical counter measures in Shimane prefecture Japan,” Journal of Crop Science, vol. 72, pp. 434–439, 2003.

N. B. Lyman, K. S. V. Jagadish, L. L. Nalley, B. L. Dixon, and T. Siebenmorgen, “Neglecting rice milling yield and quality underestimates economic losses from high-temperature stress,” PLoS ONE, vol. 8, no. 8, Article ID e72157, 2013.

S. Zakaria, T. Matsuda, S. Tajima, and Y. Nitta, “Effect of high temperature at ripening stage on the reserve accumulation in seed in some rice cultivars,” Plant Production Science, vol. 5, no. 2, pp. 160–168, 2002.

H. Gao, S. Wang, X. Zong, Z. Teng, F. Zhao, and Z. Liu, “Effects of combined high temperature and drought stress on amylose and protein contents at rice grain-filling stage,” Chinese Journal of Eco-Agriculture, vol. 20, no. 1, pp. 40–47, 2012.

S. Morita and Nakano, “Prospect for developing measures to prevent high-temperature damage to rice grain ripening,” Japanese Journal of Crop Science, vol. 7, p. 12, 2008.

H. S. Lur, Y. C. Wu, S. J. Chang, C. L. Lao, C. L. Hsu, and M. Kondo, “Effects of high temperature on yield and grain quality of rice in Taiwan,” in Proceeding of the MARCO Symposium, T. Hasegawa and H. Sakai, Eds., pp. 38–43, National Institute for Agro-Environmental Sciences, Tsukuba, Japan, 2009.

K. Wakamatsu, T. Tanogashira, M. Takemure, and K. Mori, “Effects of high air temperature at ripening period on the grain qualityof rice in Kagoshima Prefecture,” Report of the Kyushu Branch of Crop Science Society of Japan, vol. 70, pp. 10–12, 2004.

K. Wakamatsu, T. Tanogashira, Y. Komaki, and T. Higashi, “Effects of high air temperature in the ripening period on the grain quality of rice in warm regions and its varietal differences,” Report of the Kyushu Branch of Crop Science Society of Japan, vol. 71, pp. 6–9, 2005.

M. Tsubone, T. Ogata, and T. Wada, “Effective selection methodof rice varieties with resistance to high-temperature during ripeningperiod by warm water treatment,” Report of the Kyushu Branch of Crop Science Society of Japan, vol. 74, pp. 21–23, 2008.

K. Wakamatsu, O. Sasaki, and A. Tanaka, “Effects of the amount of insolation and humidity during the ripening period on the grain quality of brown rice in warm regions of Japan,” Japanese Journal of Crop Science, vol. 78, no. 4, pp. 476–482, 2009.

T. Wada, K. Miyahara, J.-Y. Sonoda et al., “Detection of QTLs for white-back and basal-white grains caused by high temperature during ripening period in japonica rice,” Breeding Science, vol. 65, no. 3, pp. 216–225, 2015.

X. Liu, X. Wan, X. Ma, and J. Wan, “Dissecting the genetic basis for the effect of rice chalkiness, amylose content, protein content, and rapid viscosity analyzer profile characteristics on the eating quality of cooked rice using the chromosome segment substitution line population across eight environments,” Genome, vol. 54, no. 1, pp. 64–80, 2010.

F. Cheng, H. Zhu, L. Zhong, and Z. Sun, “Effect of temperature on rice starch biosynthesis metabolism at grain-filling stage of early indica rice,” Agricultural Sciences in China, vol. 2, pp. 473–482, 2003.

H. Jiang, W. Dian, and P. Wu, “Effect of high temperature on fine structure of amylopectin in rice endosperm by reducing the activity of the starch branching enzyme,” Phytochemistry, vol. 63, no. 1, pp. 53–59, 2003.

H. Yamakawa and M. Hakata, “Atlas of rice grain filling-related metabolism under high temperature: joint analysis of metabolome and transcriptome demonstrated inhibition of starch accumulation and induction of amino acid accumulation,” Plant & Cell Physiology (PCP), vol. 51, no. 5, pp. 795–809, 2010.

H. Satoh, K. Shibahara, T. Tokunaga et al., “Mutation of the plastidial α-glucan phosphorylase gene in rice affects the synthesis and structure of starch in the endosperm,” The Plant Cell, vol. 20, no. 7, pp. 1833–1849, 2008.

Q. Ma, Y. Li, X. S. Tian, L. Yan, N. Wang, and Nakata, “Influence of high temperature stress on composition and accumulation configuration of storage protein in rice,” Scientia Agricultura Sinica, vol. 42, pp. 714–718, 2009.

W. Wang, B. Vinocur, O. Shoseyov, and A. Altman, “Role of plant heat-shock proteins and molecular chaperones in the abiotic stress response,” Trends in Plant Science, vol. 9, no. 5, pp. 244–252, 2004.

J. D. Trent, “A review of acquired thermotolerance, heat-shock proteins, and molecular chaperones in archaea,” FEMS Microbiology Reviews, vol. 18, no. 2-3, pp. 249–258, 1996.

L.-X. Tao, H.-J. Tan, X. Wang, L.-Y. Cao, J. Song, and S.-H. Cheng, “Effects of high-temperature stress on flowering and grain-setting characteristics of guodao 6,” Acta Agronomica Sinica, vol. 34, no. 4, pp. 609–674, 2008.

Y. Poli, R. K. Basava, M. Panigrahy et al., “Characterization of a Nagina22 rice mutant for heat tolerance and mapping of yield traits,” Rice, vol. 6, no. 1, pp. 1–9, 2013.

H. Zhang, L. Duan, J.-S. Dai et al., “Major QTLs reduce the deleterious effects of high temperature on rice amylose content by increasing splicing efficiency of Wx pre-mRNA,” Theoretical and Applied Genetics, vol. 127, no. 2, pp. 273–282, 2013.

U. Yamanouchi, M. Yano, H. Lin, M. Ashikari, and K. Yamada, “A rice spotted leaf gene, Spl7, encodes a heat stress transcription factor protein,” Proceedings of the National Acadamy of Sciences of the United States of America, vol. 99, no. 11, pp. 7530–7535, 2002.

C. L. Zhu, Y. H. Xiao, C. M. Wang, L. Jiang, H. Q. Zhai, and J. M. Wan, “Mapping QTL for heat-tolerance at grain filling stage in rice,” Rice Science, vol. 12, pp. 33–38, 2005.

N. Yokotani, T. Ichikawa, Y. Kondou et al., “Expression of rice heat stress transcription factor OsHsfA2e enhances tolerance to environmental stresses in transgenic Arabidopsis,” Planta, vol. 227, no. 5, pp. 957–967, 2008.

X. M. Li, D. Y. Chao, Y. Wu et al., “Natural alleles of a proteasome a2 subunit gene contribute to thermotolerance and adaptation of African rice,” Nature Genetics, vol. 47, pp. 827–833, 2015.

J. Zou, C. Liu, and X. Chen, “Proteomics of rice in response to heat stress and advances in genetic engineering for heat tolerance in rice,” Plant Cell Reports, vol. 30, no. 12, pp. 2155–2165, 2011.

W. Rerksiri, X. Zhang, H. Xiong, and X. Chen, “Expression and promoter analysis of six heat stress-inducible genes in rice,” The Scientific World Journal, vol. 2013, Article ID 397401, 9 pages, 2013.

M. Richard, Crop Improvement by Conventional Breeding or Genetic Engineering, Biotechnology Jan. BIO-5, (CTAHR), Manoa, Hawaii, USA, 2004, http://www.ctahr.hawaii.edu.

M. Hasanuzzaman, K. Nahar, M. M. Alam, R. Roychowdhury, and M. Fujita, “Physiological, biochemical, and molecular mechanisms of heat stress tolerance in plants,” International Journal of Molecular Sciences, vol. 14, no. 5, pp. 9643–9684, 2013.