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多年环境和气象因素对冬性硬粒小麦品质性状的影响

Effect of Multi-Year Environmental and Meteorological Factors on the Quality Traits of Winter Durum Wheat.

作者信息

Vida Gyula, Cséplő Mónika, Rakszegi Marianna, Bányai Judit

机构信息

Centre for Agricultural Research, Agricultural Institute, ELKH, 2462 Martonvasar, Hungary.

出版信息

Plants (Basel). 2021 Dec 30;11(1):113. doi: 10.3390/plants11010113.

DOI:10.3390/plants11010113
PMID:35009116
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8747632/
Abstract

A detailed study was made of the effect of rainfall, average temperature and hot days on the gluten index and Minolta b* value of winter durum wheat sown in the field in 16 consecutive crop years (2005-2020). The joint analysis of these two technological quality traits represented a complex (plant-environment-meteorological factors) approach for the identification of durum wheat cultivars carrying an optimum combination of the two traits and for the determination of quality stability. The results of GGE-biplot analysis indicated that the cultivar that had the most favorable combination of the traits was 'MVP', while cultivar 'GKS' had the best gluten strength and 'MVH' the best yellow pigment content. Correlation analysis and stepwise regression between various meteorological factors (rainfall, mean temperature, number of heat days per 10-day period during grain-filling) and the two technological quality traits indicated that the expected value of the quality traits could be reliably estimated based on meteorological factors, with a generally negative effect on gluten index and a positive one on yellowness in all cultivars.

摘要

对连续16个作物年份(2005 - 2020年)田间种植的冬性硬粒小麦,研究了降雨、平均温度和炎热天数对其面筋指数和Minolta b*值的影响。对这两个工艺品质性状进行联合分析,是一种复杂的(植物 - 环境 - 气象因素)方法,用于鉴定具有这两个性状最佳组合的硬粒小麦品种,并确定品质稳定性。GGE双标图分析结果表明,性状组合最有利的品种是“MVP”,而“GKS”品种面筋强度最佳,“MVH”品种黄色素含量最佳。各种气象因素(降雨、平均温度、灌浆期每旬炎热天数)与这两个工艺品质性状之间的相关性分析和逐步回归表明,基于气象因素可以可靠地估计品质性状的预期值,在所有品种中,气象因素对面筋指数一般有负面影响,对黄度有正面影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/e59c81d69029/plants-11-00113-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/bdeb97ea7072/plants-11-00113-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/bd535e323abe/plants-11-00113-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/e6b319449ff7/plants-11-00113-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/e59c81d69029/plants-11-00113-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/bdeb97ea7072/plants-11-00113-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/bd535e323abe/plants-11-00113-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/e6b319449ff7/plants-11-00113-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67cd/8747632/e59c81d69029/plants-11-00113-g004.jpg

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Sci Rep. 2021 Jun 4;11(1):11877. doi: 10.1038/s41598-021-91446-2.
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High Density Mapping of Quantitative Trait Loci Conferring Gluten Strength in Canadian Durum Wheat.加拿大硬粒小麦中赋予面筋强度的数量性状位点的高密度图谱
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3
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Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs.
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Plants (Basel). 2022 Feb 2;11(3):414. doi: 10.3390/plants11030414.
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