Please wait a minute...
Journal of Integrative Agriculture  2015, Vol. 14 Issue (4): 622-632    DOI: 10.1016/S2095-3119(14)60856-X
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
Analysis of the independent- and interactive-photo-thermal effects on soybean flowering
 WU Ting-ting, LI Jin-yu, WU Cun-xiang, SUN Shi, MAO Ting-ting, JIANG Bing-jun, HOU Wen-sheng, HAN Tian-fu
Key Laboratory of Soybean Biology (Beijing), Ministry of Agriculture/Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  Soybean (Glycine max (L.) Merr.) is a typical short-day and warm season plant, and the interval between emergence and flowering has long been known to be regulated by environmental factors, primarily photoperiod and temperature. While the effects of photoperiod and temperature on soybean flowering have been extensively studied, a dissection of the component photo-thermal effects has not been documented for Chinese germplasm. Our objective of the current study was to evaluate the independent- and interactive-photo-thermal responses of 71 cultivars from 6 ecotypes spanning the soybean production regions in China. These cultivars were subjected in pot experiments to different temperature regimes by planting in spring (low temperature (LT)) and summer (high temperature (HT)), and integrating with short day (SD, 12 h), natural day (ND, variable day-length), and long day (LD, 16 h) treatments over two years. The duration of the vegetative phase from emergence to first bloom (R1) was recorded, and the photo-thermal response was calculated. The outcome of this characterization led to the following conclusions: (1) There were significant differences in photo-thermal response among the different ecotypes. High-latitude ecotypes were less sensitive to the independent- and interactive-photo-thermal effects than low-latitude ecotypes; and (2) there was an interaction between photoperiod and temperature, with the effect of photoperiod on thermal sensitivity being greater under the LD than the SD condition, and with the effect of temperature on photoperiodic sensitivity being greater under the LT than the HT condition. The strengths and limitations of this study are discussed in terms of implications for current knowledge and future research directions. The study provides better understanding of photo-thermal effects on flowering in soybean genotypes from different ecotypes throughout China and of the implications for their adaptation more broadly.

Abstract  Soybean (Glycine max (L.) Merr.) is a typical short-day and warm season plant, and the interval between emergence and flowering has long been known to be regulated by environmental factors, primarily photoperiod and temperature. While the effects of photoperiod and temperature on soybean flowering have been extensively studied, a dissection of the component photo-thermal effects has not been documented for Chinese germplasm. Our objective of the current study was to evaluate the independent- and interactive-photo-thermal responses of 71 cultivars from 6 ecotypes spanning the soybean production regions in China. These cultivars were subjected in pot experiments to different temperature regimes by planting in spring (low temperature (LT)) and summer (high temperature (HT)), and integrating with short day (SD, 12 h), natural day (ND, variable day-length), and long day (LD, 16 h) treatments over two years. The duration of the vegetative phase from emergence to first bloom (R1) was recorded, and the photo-thermal response was calculated. The outcome of this characterization led to the following conclusions: (1) There were significant differences in photo-thermal response among the different ecotypes. High-latitude ecotypes were less sensitive to the independent- and interactive-photo-thermal effects than low-latitude ecotypes; and (2) there was an interaction between photoperiod and temperature, with the effect of photoperiod on thermal sensitivity being greater under the LD than the SD condition, and with the effect of temperature on photoperiodic sensitivity being greater under the LT than the HT condition. The strengths and limitations of this study are discussed in terms of implications for current knowledge and future research directions. The study provides better understanding of photo-thermal effects on flowering in soybean genotypes from different ecotypes throughout China and of the implications for their adaptation more broadly.
Keywords:  soybean       flowering       photoperiod       temperature       photo-thermal response  
Received: 17 February 2014   Accepted:
Fund: 

This work was funded by the China Agricultural Research System (CARS-04) and the Chinese Academy of Agricultural Sciences Innovation Project. The authors would like to thank Dr. Qiu Lijuan (Institute of Crop Science, CAAS) and Liu Zhangxiong (CAAS) for providing some soybean germplasms for this study.

Corresponding Authors:  HAN Tian-fu, Tel: +86-10-82105875, Fax: +86-10-82108784,E-mail: tianfuhan@hotmail.com, hantianfu@caas.cn     E-mail:  tianfuhan@hotmail.com, hantianfu@caas.cn
About author:  WU Ting-ting, E-mail: wtt1235@126.com; LI Jin-yu, E-mail: jinyuli. 1985@126.com

Cite this article: 

WU Ting-ting, LI Jin-yu, WU Cun-xiang, SUN Shi, MAO Ting-ting, JIANG Bing-jun, HOU Wen-sheng, HAN Tian-fu. 2015. Analysis of the independent- and interactive-photo-thermal effects on soybean flowering. Journal of Integrative Agriculture, 14(4): 622-632.

Agele S O, Adenawoola A R, Doherty M. 2004. Growthresponse of soybean lines to contrasting photo-thermaland soil moisture regimes in a Nigerian tropical rainforest.International Journal of Biotronics, 33, 49-64

Bu M, Pan T. 1982. A study on the regionalization of soybeanproducing area in China. Soybean Science, 1, 105-121(in Chinese)

Câmara G M S, Sediyama T, Dourado-Neto D, Bernardes MS. 1997. Influence of photoperiod and air temperature onthe growth, flowering and maturation of soybean. ScientiaAgricola, 54, 149-154

Cober E R, Morrison M J. 2010. Regulation of seed yield andagronomic characters by photoperiod sensitivity and growthhabit genes in soybean. Theoretical and Applied Genetics,120, 1005-1012

Cober E R, Stewart D W, Voldeng H D. 2001. Photoperiod andtemperature responses in early-maturing, near-isogenicsoybean lines. Crop Science, 41, 721-727

Constable G A, Rose I A. 1988. Variability of soybean phenologyresponse to temperature, daylength and rate of change indaylength. Field Crops Research, 18, 57-69

Cooper R L. 2003. A delayed flowering barrier to higher soybeanyields. Field Crops Research, 82, 27-35

Fehr W R, Caviness C E. 1977. Stages of SoybeanDevelopment. Special Report 80, Cooperative ExtensionService, Agriculture and Home Economic ExperimentStation. Iowa State University, Ames, Lowa. pp. 1-11

Fei Z, Wu C, Song H, Hou W, Zhang B, Han T. 2009.Identification of photo-thermal responses in soybean byintegrating photoperiod treatments with planting-dateexperiments. Acta Agronomica Sinica, 35, 1525-1531 (inChinese)

Garner W W, Allard H A. 1920. Effect of the relative lengthof day and night and other factors of the environment ongrowth and reproduction in plants. Journal of AgricuturalResearch, 18, 553-606

Garner W W, Allard H A. 1923. Further studies in photoperiodism:The response of the plant to relative length of day andnight, US government printing office. Journal of AgricuturalResearch, 23, 871-920

Garner W W, Allard H A. 1930. Photoperiodic response ofsoybeans in relation to temperature and other environmentalfactors. Journal of Agricultural Research, 41, 719-735

Gaynor L G, Lawn R J, James A T. 2011. Agronomic studieson irrigated soybean in southern New South Wales. I.Phenological adaptation of genotypes to sowing date. Cropand Pasture Science, 62, 1056-1066

Grimm S S, Jones J W, Boote K J, Herzog D C. 1994. Modelingthe occurrence of reproductive stages after flowering for foursoybean cultivars. Agronomy Journal, 86, 31-38

Grimm S S, Jones J W, Boote K J, Hesketh J D. 1993.Parameter estimation for predicting flowering date ofsoybean cultivars. Crop Science, 33, 137-144

Hadley P, Roberts E H, Summerfield R J, Minchin F R. 1984.Effects of temperature and photoperiod on floweing insoybean [Glycine max (L.) Merrill]: a quantitative model.Annals of Botany (London), 53, 669-681

Han T. 2007. Photoperiodism in soybean. In: Wang J, Guo Q,eds., Contemporary Soybean Research in China. JindunPress, Beijing. pp. 211-220 (in Chinese)

Han T, Wang J, Fan B, Yao W, Yang Q. 1996. Effects of postfloweringdaylength on agronomic characters of soybean.Chinese Journal of Applied Ecology, 7, 167-173 (inChinese)

Han T, Wu C, Tong Z, Mentreddy R S, Tan K, Gai J. 2006.Postflowering photoperiod regulates vegetative growth andreproductive development of soybean. Environmental andExperimental Botany, 55, 120-129.Hao G, Chen X, Bu M. 1992. Classification of the Chinesesoybean cultivars into maturity group. Acta AgronomicaSinica, 18, 275-281 (in Chinese)

Hartwig E E, Edwards C. 1987. USDA southern soybeangermplasm report. Soybean Genetic Newsletter, 14, 14-20

Hymowitz T, Newell C A. 1981. Taxonomy of the genus Glycine,domestication and uses of soybeans. Economic Botany,35, 272-288

Jia H, Jiang B, Wu C, Lu W, Hou W, Sun S, Yan H, Han T. 2014.Maturity group classification and maturity locus genotypingof early-maturing soybean varieties from high-latitude coldregions. PLOS ONE, 9, e94139.

Jiang B, Yue Y, Gao Y, Ma L, Sun S, Wu C, Hou W, Lam H M,Han T. 2013. GmFT2a polymorphism and maturity diversityin soybeans. PLOS ONE, 8, e77474.

Kantolic A G, Slafer G A. 2001. Photoperiod sensitivity afterflowering and seed number determination in indeterminatesoybean cultivars. Field Crops Research, 72, 109-118

Kantolic A G, Slafer G A. 2007. Development and seed numberin indeterminate soybean as affected by timing and durationof exposure to long photoperiods after flowering. AnnualBotany, 99, 925-933

Lawn R J, Summerfield R J, Ellis R H, Qi A, Roberts E H, ChayP M, Brouwer J B, Rose J L, Yeates S J. 1995. Towardsthe reliable prediction of time to flowering in six annualcrops. VI. Applications in crop improvement. ExperimentalAgriculture, 31, 89-108

Major D J, Johnson D R, Tanner J W, Anderson I C. 1975.Effects of daylength and temperature on soybeandevelopment. Crop Science, 15, 174-179

Mayer J D, Lawn R J, Byth D E. 1991. Adaptation of soybean[Glycine max (L.) Merrill] to the dry season of the tropics. I. Genotypic and environmental effects on phenology.Australian Journal of Agricultural Research, 42, 497-515

McBlain B A, Hesketh J D, Bernard R L. 1987. Genetic effectson reproductive phenology in soybean isolines differing inmaturity genes. Canadian Journal of Plant Science, 67,105-115

Piper E L, Boote K J, Jones J W, Grimm S S. 1996a. Comparisonof two phenology models for predicting flowering andmaturity lines. Crop Science, 36, 1606-1614

Piper E L, Smit M A, Boote K J, Jones J W. 1996b. The role ofdaily minimum temperature in modulating the developmentrate to flowering in soybean. Field Crops Research, 47,211-220

Rahman M M, Hampton J G, Hill M J. 2006. Soybeandevelopment under the cool temperate environment ofCanterbury, New Zealand. Journal of New Seeds, 7, 17-36

Ren Q, Gai J, Ma Y. 1987. A study on the ecological propertiesof the growth periods of the Chinese soybean varieties.Scientia Agricultura Sinica, 20, 23-28 (in Chinese)

SAS. 2010a. SAS/STAT(R) 9.2 user’s guide. 2nd ed. [2013-12-20]. http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#glm_toc.htm

SAS. 2010b. SAS/STAT(R) 9.2 user’s guide. 2nd ed. [2013-12-20]. http://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/viewer.htm#cluster_toc.htm

SAS. 2010c. SAS/STAT(R) 9.2 user’s guide. 2nd ed. [2013-12-20]. http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htmstatug_tree_sect004.htm

SAS. 2010d. SAS/STAT 9.22 user’s guide. The REG procedure.[2013-12-20]. http://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/viewer.htm#statug_reg_sect007.htm

Setiyono T D, Weiss A, Specht J, Bastidas A M, Cassman K G,Dobermann A. 2007. Understanding and modeling the effectof temperature and daylength on soybean phenology underhigh-yield conditions. Field Crops Research, 100, 257-271

Sohédjié O, Weaver D B. 1995. Effect of growth habit on yieldcomponents of late-planted soybean. Crop Science, 35,411-415

Stewart D W, Cober E R, Bernard R L. 2003. Modelinggenetic effects on the photo-thermal response of soybeanphonological development. Agronomy Journal, 95, 65-70

Summerfield R J, Roberts E H, Ellis R H, Lawn R J. 1991.Towards the reliable prediction of time to flowering in sixannual crops: I. The development of simple models forfluctuating field environments. Experimental Agriculture,27, 11-31

Tsubokura Y, Matsumura H, Xu M, Liu B, Nakashima H, AnaiT, Kong F, Yuan X, Kanamori H, Katayose Y, TakahashiR, Harada K, Abe J. 2013. Genetic variation in soybean atthe maturity locus E4 is involved in adaptation to long daysat high latitude. Agronomy, 3, 117-134

Upadhyay A P, Summerfield R H, Ellis R H, Roberts R H,Qi A.1994. Variation in the durations of the photoperiodsensitiveand photoperiod-insensitive phases ofdevelopment to flowering among eight maturity isolinesof soyabean [Glycine max (L.) Merrill]. Annual Botany, 74,97-101

Wang J. 1981. On the ecological characteristics and germplasmresources in soybean. Chinese Journal of Oil Crop Science,1, 1-9 (in Chinese)

Wang J, Wu Y, Wu H, Sun S. 1956. Analysis on photoperiodecotypes of cultivated soybean originating from differentlocations of China. Acta Agronomica Sinica, 7, 169-180(in Chinese)

Wang L, Guan R, Liu Z, Chang R, Qiu L. 2006. Genetic diversityof Chinese cultivated soybean revealed by SSR markers.Crop Science, 46, 1032-1038

Wang Y, Ma H. 2000. Response to photo-temperatureconditions of days to flowering of soybean ecotypes fromChina. Journal of Anhui Normal University, 23, 40-46 (inChinese)

Watanabe S, Harada K, Abe J. 2012. Genetic and molecularbases of photoperiod responses of flowering in soybean.Breed Science, 61, 531-543

Wu C, Li J, Sha A, Zeng H, Sun S, Yang G, Zhou X, Chang R,Nian H, Han T. 2012. Maturity group classification of checkvarieties in national soybean uniform trials of China. ActaAgronomica Sinica, 38, 1977-1987 (in Chinese)

Wu C, Ma Q, Yam K M, Cheung M Y, Xu Y, Han T, Lam H M,Chong K. 2006. In situ expression of the GmNMH7 geneis photoperiod-dependent in a unique soybean (Glycinemax [L.] Merr.) flowering reversion system. Planta, 223,725-735
[1] YANG Hong-jun, YE Wen-wu, YU Ze, SHEN Wei-liang, LI Su-zhen, WANG Xing, CHEN Jia-jia, WANG Yuan-chao, ZHENG Xiao-bo. Host niche, genotype, and field location shape the diversity and composition of the soybean microbiome[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2412-2425.
[2] WANG Xing-long, ZHU Yu-peng, YAN Ye, HOU Jia-min, WANG Hai-jiang, LUO Ning, WEI Dan, MENG Qing-feng, WANG Pu. Irrigation mitigates the heat impacts on photosynthesis during grain filling in maize [J]. >Journal of Integrative Agriculture, 2023, 22(8): 2370-2383.
[3] XU Yan-xia, ZHANG Jing, WAN Zi-yun, HUANG Shan-xia, DI Hao-chen, HE Ying, JIN Song-heng. Physiological and transcriptome analyses provide new insights into the mechanism mediating the enhanced tolerance of melatonin-treated rhododendron plants to heat stress[J]. >Journal of Integrative Agriculture, 2023, 22(8): 2397-2411.
[4] XU Lei, ZHAO Tong-hua, Xing Xing, XU Guo-qing, XU Biao, ZHAO Ji-qiu.

Model fitting of the seasonal population dynamics of the soybean aphid, Aphis glycines Matsumura, in the field [J]. >Journal of Integrative Agriculture, 2023, 22(6): 1797-1808.

[5] ZHAO Xiao-dong, QIN Xiao-rui, LI Ting-liang, CAO Han-bing, XIE Ying-he. Effects of planting patterns plastic film mulching on soil temperature, moisture, functional bacteria and yield of winter wheat in the Loess Plateau of China[J]. >Journal of Integrative Agriculture, 2023, 22(5): 1560-1573.
[6] ZHANG Bing-chao, HU Han, GUO Zheng-yu, GONG Shuai, SHEN Si, LIAO Shu-hua, WANG Xin, ZHOU Shun-li, ZHANG Zhong-dong. Plastic-film-side seeding, as an alternative to traditional film mulching, improves yield stability and income in maize production in semi-arid regions[J]. >Journal of Integrative Agriculture, 2023, 22(4): 1021-1034.
[7] GAO Hua-wei, YANG Meng-yuan, YAN Long, HU Xian-zhong, HONG Hui-long, ZHANG Xiang, SUN Ru-jian, WANG Hao-rang, WANG Xiao-bo, LIU Li-ke, ZHANG Shu-zhen, QIU Li-juan. Identification of tolerance to high density and lodging in short petiolate germplasm M657 and the effect of density on yield-related phenotypes of soybean[J]. >Journal of Integrative Agriculture, 2023, 22(2): 434-446.
[8] QU Zheng, LI Yue-han, XU Wei-hui, CHEN Wen-jing, HU Yun-long, WANG Zhi-gang. Different genotypes regulate the microbial community structure in the soybean rhizosphere[J]. >Journal of Integrative Agriculture, 2023, 22(2): 585-597.
[9] ZHANG Hua, WU Hai-yan, TIAN Rui, KONG You-bin, CHU Jia-hao, XING Xin-zhu, DU Hui, JIN Yuan, LI Xi-huan, ZHANG Cai-ying. Genome-wide association and linkage mapping strategies reveal genetic loci and candidate genes of phosphorus utilization in soybean[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2521-2537.
[10] GAO Hua-wei, SUN Ru-jian, YANG Meng-yuan, YAN Long, HU Xian-zhong, FU Guang-hui, HONG Hui-long, GUO Bing-fu, ZHANG Xiang, LIU Li-ke, ZHANG Shu-zhen, QIU Li-juan. Characterization of the petiole length in soybean compact architecture mutant M657 and the breeding of new lines[J]. >Journal of Integrative Agriculture, 2022, 21(9): 2508-2520.
[11] REN Chuan-ying, LU Shu-wen, GUAN Li-jun, HONG Bin, ZHANG Ying-lei, HUANG Wen-gong, LI Bo, LIU Wei, LU Wei-hong.

The metabolomics variations among rice, brown rice, wet germinated brown rice, and processed wet germinated brown rice [J]. >Journal of Integrative Agriculture, 2022, 21(9): 2767-2776.

[12] ZOU Jia-nan, ZHANG Zhan-guo, KANG Qing-lin, YU Si-yang, WANG Jie-qi, CHEN Lin, LIU Yan-ru, MA Chao, ZHU Rong-sheng, ZHU Yong-xu, DONG Xiao-hui, JIANG Hong-wei, WU Xiao-xia, WANG Nan-nan, HU Zhen-bang, QI Zhao-ming, LIU Chun-yan, CHEN Qing-shan, XIN Da-wei, WANG Jin-hui. Characterization of chromosome segment substitution lines reveals candidate genes associated with the nodule number in soybean[J]. >Journal of Integrative Agriculture, 2022, 21(8): 2197-2210.
[13] PAN Wen-jing, HAN Xue, HUANG Shi-yu, YU Jing-yao, ZHAO Ying, QU Ke-xin, ZHANG Ze-xin, YIN Zhen-gong, QI Hui-dong, YU Guo-long, ZHANG Yong, XIN Da-wei, ZHU Rong-sheng, LIU Chun-yan, WU Xiao-xia, JIANG Hong-wei, HU Zhen-bang, ZUO Yu-hu, CHEN Qing-shan, QI Zhao-ming. Identification of candidate genes related to soluble sugar contents in soybean seeds using multiple genetic analyses[J]. >Journal of Integrative Agriculture, 2022, 21(7): 1886-1902.
[14] LIU Chen, TIAN Yu, LIU Zhang-xiong, GU Yong-zhe, ZHANG Bo, LI Ying-hui, NA Jie, QIU Li-juan. Identification and characterization of long-InDels through whole genome resequencing to facilitate fine-mapping of a QTL for plant height in soybean (Glycine max L. Merr.)[J]. >Journal of Integrative Agriculture, 2022, 21(7): 1903-1912.
[15] HUI Fang, XIE Zi-wen, LI Hai-gang, GUO Yan, LI Bao-guo, LIU Yun-ling, MA Yun-tao. Image-based root phenotyping for field-grown crops: An example under maize/soybean intercropping[J]. >Journal of Integrative Agriculture, 2022, 21(6): 1606-1619.
No Suggested Reading articles found!