Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India

Krishnamurthy, S. L.; Sharma, Parbodh Chander; Sharma, Dinesh Kumar; Ravikiran, K. T.; Singh, Yash Pal; Mishra, Vinay Kumar; Burman, D.; Maji, B.; Mandal, Subhasis; Sarangi, Sukanta K.; Gautam, Raj Kumar; Singh, Praveen; Manohara, K. K.; Marandi, B. C.; Padmavathi, G.; Vanve, P. B.; Patil, K. D.; Thirumeni, S.; Verma, O. P.; Khan, Anwarzeb; Tiwari, Sushma; Geetha, S.; Shakila, M.; Gill, R. S.; Yadav, V. K.; Roy, Swapan Kumar; Prakash, M.; Bonifacio, Justine; Ismail, Abdelbagi M.; Gregorio, Glenn B.; Singh, Rakesh Kumar

doi:10.1038/s41598-017-08532-7

Cited by 57 publications

(37 citation statements)

References 52 publications

(61 reference statements)

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“…After the soybeans were disseminated northward, the early MGs 000-0 varieties were developed in the Northeast of China covering a wide range of MGs 000-III (Liu et al, 2017). Likewise, 127 soybean varieties from Heilongjiang, Jilin, and Liaoning were mainly classified as MG000-III, which was consistent with MGs distribution in various soybean ecoregions in China by Gai et al (Gai and Wang, 2001;Wu et al, 2012;Jia et al, 2014).…”

Section: Discussionsupporting

confidence: 67%

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Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Liu

Chun-sheng

et al. 2020

Front. Plant Sci.

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Soybean yield is a complex quantitative trait, which is greatly affected by environmental conditions. The main objective of this study is not only to identify specific traits contributing to yield in different latitudes, which can be further used in breeding, but also to identify the outperforming varieties, as this can help to select new lines with these traits. One hundred and seventy-three soybean genotypes were tested in three different ecological environments, including Harbin, Changchun, and Shenyang in China during 2015-2016 cropping seasons. The evaluation on the different agronomic and physiological traits indicated that the soybean varieties with higher plant height, more nodes of main stem, branches, pods, grains, and 100-grain weight, or longer growth periods may have higher yield. Pods, grains and 100-grain weight can be used as direct selection criteria for yield increase, and likewise the other traits such as plant height, nodes of main stem, branches, growth periods indirectly affected yield by affecting the three traits above. The effect of genotype × environment (G × E) interaction on different agronomic traits was significant. The representativeness and discriminability for grains yield per plant was the most significant in Harbin, which could be used to screen varieties with high yield and wider adaptability. Genotype "Suinong 1" was considered stable with higher value of grain yield per plant than other genotypes used in this study. As the yield of certain soybean cultivars may be significantly reduced if they are grown in a region as little as 2°N beyond its normal cultivation latitudes, therefore, the identification and analysis on the stable and widely adaptive soybean genotypes would be very important, and it would provide the significant reference accordance of soybean variety selection for the soybean breeders.

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Section: Discussionsupporting

confidence: 67%

“…The mid-range values of R7 in 13 standard MGs were calculated, and the averages of mid-range values for two adjacent MGs were used as the threshold. The 173 soybeans were classified into different MGs (Jia et al, 2014).…”

Section: Experimental Design and Investigation Methodsmentioning

confidence: 99%

Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Liu

Chun-sheng

et al. 2020

Front. Plant Sci.

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“…Environment effect was high in case of grain yield and plant height but interaction effect was high for the expression of tiller number. Comparatively higher contribution of environment effect was observed in many previous studies 48 – 51 and especially under stress conditions 52 – 54 .…”

Section: Discussionmentioning

confidence: 49%

Genotype × Environment interactions of Nagina22 rice mutants for yield traits under low phosphorus, water limited and normal irrigated conditions

Yugandhar

Balakrishnan

Subrahmanyam

et al. 2018

Sci Rep

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Multi environment testing helps identify stable genotypes especially for adverse abiotic stress situations. In the era of climate change and multiple abiotic stresses, it becomes important to analyze stability of rice lines under both irrigated and stress conditions. Mutants are an important genetic resource which can help in revealing the basis of natural variation. We analyzed 300 EMS induced mutants of aus rice cultivar Nagina22 (N22) for their G × E interaction and stability under low phosphorus (P), water limited and irrigated conditions. Environmental effect and interaction were more significant than genotypic contribution on grain yield (GY), productive tillers (TN) and plant height (PH) under these three environmental conditions in dry season, 2010. GY and TN were more affected by low P stress than by water limited condition, but PH was not significantly different under these two stresses. Mutants G17, G209, G29, G91, G63 and G32 were stable for GY in decreasing order of stability across the three environments but G254 and G50 were stable only in low P, G17 and G45 only in water limited and G295 and G289 only in normal irrigated condition. We then selected and evaluated 3 high yielding mutants, 3 low yielding mutants and N22 for their stability and adaptability to these 3 environments in both wet and dry seasons for six years (2010–2015). The most stable lines based on the combined analysis of 12 seasons were G125 (NH210) under normal condition, G17 (NH686), G176 (NH363) and G284 (NH162) in low P condition and G176 (NH363) under water limited condition. G176 was the best considering all 3 conditions. When screened for 15 Pup1 gene-specific markers, G176 showed alleles similar to N22. While two other low-P tolerant lines G17 and G65 showed N22 similar alleles only at k-1 and k-5 but a different allele or null allele at 13 other loci. These stable mutants are a valuable resource for varietal development and to discover genes for tolerance to multiple abiotic stresses.

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“…Understanding the causes and extent of G × E interaction is highly useful to frame breeding objectives, identifying ideal test locations, and formulating varietal release recommendations (Krishnamurthy et al 2017). It is also of paramount importance to evaluate the adaptability and stability of the genotypes.…”

Section: Discussionmentioning

confidence: 99%

Environmental Impact on Early Generations Selection and Its Implications on Breeding Strategies in Rice

2017

International Journal of Advanced Research in Botany

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Identification of mega-environments and rice genotypes for general and specific adaptation to saline and alkaline stresses in India

Cited by 57 publications

References 52 publications

Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes

Genotype × Environment interactions of Nagina22 rice mutants for yield traits under low phosphorus, water limited and normal irrigated conditions

Environmental Impact on Early Generations Selection and Its Implications on Breeding Strategies in Rice

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