Theresa M. Bapela, Seltene A. Tesfamariam, Toi J. Tsilo, Hussein Shimelis
<p>Drought-adapted new-generation wheat genotypes enhance production and productivity in water-limited agroecologies, including South Africa. Therefore, drought-tolerant wheat ideotypes need to be bred and deployed using economic traits and tolerance indices. The aim of this study was to evaluate genetically diverse wheat genotypes and select drought-adapted lines based on yield response, tolerance indices and genetic groups using biplot analyses for breeding and production. Ninety-eight wheat genotypes were assessed in five environments, that is, two seasons and three sites under drought-stressed (DS) and non-stressed (NS) growing conditions using an alpha lattice design with two replications. Grain yield (GY) was recorded, and yield-based 10 drought-tolerance indices were computed for genotype selection and comparison of test environments using the genotype plus genotype by environment interaction (GGE) biplot model. The mean GY values of the test genotypes in descending order across the five environments (E) were 1.59 t ha<sup>−1</sup> (Bethlehem site in 2022, designated as BHM-E2), 1.57 t ha<sup>−1</sup> (Kransfontein in 2021, KRANS-E4), 1.03 t ha<sup>−1</sup> (Ficksburg in 2021, FICKS-E3), 0.63 t ha<sup>−1</sup> (Bethlehemin 2021, BHM-E1) and 0.58 t ha<sup>−1</sup> (Kransfontein in 2022, KRANS-E5). The following genotypes were the best yielders: LM29, LM9 and at BHM-E1, BHM-E2, FICKS-E3 and KRANS-E4; LM59, LM63, LM66 and LM67 at BHM-E2, FICKS-E3 and KRANS-E4; and LM83 at BHM-E1, BHM-E2 and FICKS-E3. The genotypes LM59, LM25, LM84, LM96, LM23 and LM39 exhibited low tolerance (TOL), susceptibility index (SSI) and high mean productivity (MP), geometric mean productivity (GMP), drought index (DI), yield index (YI), yield stability index (YSI) and relative drought index (RDI) values in a desirable trend. Correlation analysis revealed a strong association (<i>p</i> < 0.001) between mean GY in non-stressed conditions (<i>Y</i><sub><i>p</i></sub>) and drought tolerance indices such as TOL (<i>r</i> = 0.87), MP (<i>r</i> = 0.77), SSI (<i>r</i> = 0.72), SDI (<i>r</i> = 0.72), GMP (<i>r</i> = 0.65) and STI (<i>r</i> = 0.54). In contrast, the mean GY in stressed conditions (<i>Y</i><sub><i>s</i></sub>) positively and significantly (<i>p</i> < 0.001) correlated with YI (<i>r</i> = 1.00), DI (<i>r</i> = 0.97), RDI (<i>r</i> = 0.73), YSI (<i>r</i> = 0.73), GMP (<i>r</i> = 0.51) and MP (<i>r</i> = 0.41). The indices were invaluable in identifying relatively high-yielding and drought-tolerant wheat genotypes, and their combined use could be effective for screening drought tolerance in wheat breeding programmes. Based on GGE biplot analysis, genotypes LM6, LM9, LM30, LM64, LM83 and LM95 were discerned to be stable and high-yielding in the test environments. Developing new breeding populations is recommended using the above complementary selections through combining ability tests and progeny selection for yield and agronomic traits performance for variet
适应干旱的新一代小麦基因型提高了水资源有限的农业生态系统的产量和生产力,包括南非。因此,需要利用经济性状和耐旱性指标来培育和配置耐旱性小麦理想型。本研究的目的是评估小麦基因型的遗传多样性,并基于产量响应、耐受性指数和遗传群,利用双图分析方法选择适合干旱的小麦品系进行育种和生产。在干旱胁迫(DS)和非干旱胁迫(NS)生长条件下,采用2个重复的α晶格设计,对5种环境下的98个小麦基因型进行了评估。采用基因型+基因型环境相互作用(GGE)双图模型,记录粮食产量,计算基于产量的10项抗旱指标,进行基因型选择和试验环境比较。5个环境(E)中检测基因型的平均GY值由高到低依次为1.59 t ha - 1(伯利恒,2022年,称为BHM‐E2)、1.57 t ha - 1 (Kransfontein, 2021年,KRANS‐E4)、1.03 t ha - 1(菲克斯堡,2021年,FICKS‐E3)、0.63 t ha - 1(伯利恒,2021年,BHM‐E1)和0.58 t ha - 1 (Kransfontein, 2022年,KRANS‐E5)。以下基因型产量最高:LM29、LM9和BHM‐E1、BHM‐E2、FICKS‐E3和KRANS‐E4;LM59、LM63、LM66和LM67在BHM‐E2、FICKS‐E3和KRANS‐E4中的表达;BHM‐E1, BHM‐E2和FICKS‐E3的LM83。LM59、LM25、LM84、LM96、LM23和LM39均表现出较低的耐受性(TOL)、敏感性指数(SSI)和较高的平均生产力(MP)、几何平均生产力(GMP)、干旱指数(DI)、产量指数(YI)、产量稳定指数(YSI)和相对干旱指数(RDI)。相关分析显示,非胁迫条件下的平均GY (Y p)与TOL (r = 0.87)、MP (r = 0.77)、SSI (r = 0.72)、SDI (r = 0.72)、GMP (r = 0.65)和STI (r = 0.54)等耐旱性指标有很强的相关性(p < 0.001)。相反,应激条件下平均GY (Y s)与YI (r = 1.00)、DI (r = 0.97)、RDI (r = 0.73)、YSI (r = 0.73)、GMP (r = 0.51)和MP (r = 0.41)呈正相关且显著(p < 0.001)。这些指标对于确定相对高产和耐旱的小麦基因型具有宝贵的价值,它们的组合使用可以有效地筛选小麦育种计划中的耐旱性。基于GGE双图分析,LM6、LM9、LM30、LM64、LM83和LM95基因型在试验环境中稳定高产。建议利用上述互补选育,通过配合力试验和产量和农艺性状的后代选择,开发新的育种群体,以便品种登记和发布。
{"title":"Selection of Wheat Genotypes for Drought Adaptation and Yield Response Using Tolerance Indices and Biplot Analysis","authors":"Theresa M. Bapela, Seltene A. Tesfamariam, Toi J. Tsilo, Hussein Shimelis","doi":"10.1111/jac.70139","DOIUrl":"10.1111/jac.70139","url":null,"abstract":"<p>Drought-adapted new-generation wheat genotypes enhance production and productivity in water-limited agroecologies, including South Africa. Therefore, drought-tolerant wheat ideotypes need to be bred and deployed using economic traits and tolerance indices. The aim of this study was to evaluate genetically diverse wheat genotypes and select drought-adapted lines based on yield response, tolerance indices and genetic groups using biplot analyses for breeding and production. Ninety-eight wheat genotypes were assessed in five environments, that is, two seasons and three sites under drought-stressed (DS) and non-stressed (NS) growing conditions using an alpha lattice design with two replications. Grain yield (GY) was recorded, and yield-based 10 drought-tolerance indices were computed for genotype selection and comparison of test environments using the genotype plus genotype by environment interaction (GGE) biplot model. The mean GY values of the test genotypes in descending order across the five environments (E) were 1.59 t ha<sup>−1</sup> (Bethlehem site in 2022, designated as BHM-E2), 1.57 t ha<sup>−1</sup> (Kransfontein in 2021, KRANS-E4), 1.03 t ha<sup>−1</sup> (Ficksburg in 2021, FICKS-E3), 0.63 t ha<sup>−1</sup> (Bethlehemin 2021, BHM-E1) and 0.58 t ha<sup>−1</sup> (Kransfontein in 2022, KRANS-E5). The following genotypes were the best yielders: LM29, LM9 and at BHM-E1, BHM-E2, FICKS-E3 and KRANS-E4; LM59, LM63, LM66 and LM67 at BHM-E2, FICKS-E3 and KRANS-E4; and LM83 at BHM-E1, BHM-E2 and FICKS-E3. The genotypes LM59, LM25, LM84, LM96, LM23 and LM39 exhibited low tolerance (TOL), susceptibility index (SSI) and high mean productivity (MP), geometric mean productivity (GMP), drought index (DI), yield index (YI), yield stability index (YSI) and relative drought index (RDI) values in a desirable trend. Correlation analysis revealed a strong association (<i>p</i> < 0.001) between mean GY in non-stressed conditions (<i>Y</i><sub><i>p</i></sub>) and drought tolerance indices such as TOL (<i>r</i> = 0.87), MP (<i>r</i> = 0.77), SSI (<i>r</i> = 0.72), SDI (<i>r</i> = 0.72), GMP (<i>r</i> = 0.65) and STI (<i>r</i> = 0.54). In contrast, the mean GY in stressed conditions (<i>Y</i><sub><i>s</i></sub>) positively and significantly (<i>p</i> < 0.001) correlated with YI (<i>r</i> = 1.00), DI (<i>r</i> = 0.97), RDI (<i>r</i> = 0.73), YSI (<i>r</i> = 0.73), GMP (<i>r</i> = 0.51) and MP (<i>r</i> = 0.41). The indices were invaluable in identifying relatively high-yielding and drought-tolerant wheat genotypes, and their combined use could be effective for screening drought tolerance in wheat breeding programmes. Based on GGE biplot analysis, genotypes LM6, LM9, LM30, LM64, LM83 and LM95 were discerned to be stable and high-yielding in the test environments. Developing new breeding populations is recommended using the above complementary selections through combining ability tests and progeny selection for yield and agronomic traits performance for variet","PeriodicalId":14864,"journal":{"name":"Journal of Agronomy and Crop Science","volume":"212 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jac.70139","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145664550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}