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评估小麦基因型中热应激指数和产量稳定性的α格子设计。

Assessing alpha lattice design for heat stress indices and yield stability in wheat genotypes.

作者信息

Redhu Mandeep, Singh Vikram, Nimbal Somveer, Niwas Ram, Yashveer Shikha, Langaya Sonu, Shehrawat Sachin, Chawla Rukoo, Rahimi Mehdi, Dhukia Mohit

机构信息

Department of Plant, Soil and Agricultural Systems, College of Agricultural, Life and Physical Sciences, Southern Illinois University, Carbondale, 62901, IL, USA.

Department of Genetics and Plant Breeding, College of Agriculture, CCS Haryana Agricultural University, Hisar, 125004, India.

出版信息

Sci Rep. 2025 Jul 30;15(1):27738. doi: 10.1038/s41598-025-13863-x.

Abstract

Wheat (Triticum aestivum L.) faces increased susceptibility to terminal heat stress, a major yield-limiting factor, especially in subtropical regions. Despite India's anticipated record wheat production for 2024-25, high temperatures during the grain-filling stage threaten yield stability. This study assessed the relative efficiency of the alpha lattice design (ALD) against the randomized complete block design (RCBD) in quantifying fifteen heat stress indices (HIs) among 200 recombinant inbred lines (RILs) derived from WH711 × WH1021. The experiment was conducted at Chaudhary Charan Singh Haryana Agricultural University, during 2018-19 Rabi season over two sowing dates, capturing diverse environmental conditions. Results showed tolerance and yield stability indices with the largest (-56 to 614) and smallest (0.30 to 1.09) ranges, respectively, and most HIs exhibited medium to high heritability. Complementary gene interactions were noted for stress tolerance, yield index, yield stability, relative heat, and heat resistance indices, while duplicate gene interactions were observed for heat susceptibility index. Significant genetic variability among RILs was observed, identifying RILs 34, 59, and 106 as the most heat-tolerant with superior yield and stability. The ALD improves precision, achieving lower error mean squares and reduced coefficients of variation compared to RCBD, with a relative efficiency (RE) range up to 1.05. These findings underscore ALD's value in managing environmental heterogeneity in trials with large genotype sets and advancing genetic precision under stress, supporting its use in breeding programs focused on developing heat-resilient wheat cultivars amidst rising climatic challenges.

摘要

小麦(Triticum aestivum L.)对生育后期热胁迫的易感性增加,这是一个主要的产量限制因素,在亚热带地区尤为如此。尽管印度预计2024 - 2025年小麦产量将创纪录,但灌浆期的高温威胁着产量稳定性。本研究评估了α晶格设计(ALD)相对于随机完全区组设计(RCBD)在量化来自WH711×WH1021的200个重组自交系(RIL)中的15个热胁迫指数(HI)方面的相对效率。该实验于2018 - 2019年拉比季节在乔杜里·查兰·辛格哈里亚纳农业大学进行,分两个播种日期进行,涵盖了不同的环境条件。结果表明,耐受性和产量稳定性指数的范围分别最大(-56至614)和最小(0.30至1.09),并且大多数HI表现出中等至高遗传性。在胁迫耐受性、产量指数、产量稳定性、相对热和耐热性指数方面发现了互补基因相互作用,而在热敏感性指数方面观察到重复基因相互作用。在RIL中观察到显著的遗传变异性,鉴定出RIL 34、59和106是最耐热的,具有优异的产量和稳定性。与RCBD相比,ALD提高了精度,实现了更低的误差均方和更低的变异系数,相对效率(RE)范围高达1.05。这些发现强调了ALD在管理具有大型基因型集的试验中的环境异质性以及在胁迫下提高遗传精度方面的价值,支持其在专注于培育抗热小麦品种的育种计划中的应用,以应对日益严峻的气候挑战。

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