Modelling illustrates that genomic selection provides new opportunities for intercrop breeding
Modelling illustrates that genomic selection provides new opportunities for intercrop breeding
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建模表明基因组选择为间作育种提供了新的机会
DOI：
10.1101/2020.09.11.292912
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Bancic J
中科院分区：
文献类型：
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作者：
Bancic J
利用基因组选择的间作育种程序比利用表型选择的间作育种程序产生更快的遗传增益。间作是一种农业实践，其中两种或两种以上的成分作物种植在一起。它可以增强土壤结构和肥力，改善杂草抑制，更好地控制害虫和疾病。特别是在自给农业中，间作具有优化耕作和增加利润的巨大潜力。然而，间作品种的育种是复杂的，因为它需要同时改良两种或多种在田间联合收割机结合良好的组分作物。我们假设，基因组选择可以显着简化和加速间作作物的育种过程。因此，我们使用随机模拟比较四种不同的间作育种计划实施基因组选择和间作育种计划完全基于表型选择。我们假设单作和间作谷物产量之间存在三种不同水平的遗传相关，以研究不同的育种策略如何受到这一因素的影响。我们发现，所有四个模拟育种计划，使用基因组选择产生显着更多的间作遗传增益比表型选择程序，无论与单作产量的遗传相关性。我们提出了一种基因组选择策略，它结合单作和间作性状信息来预测一般间作能力，以提高选择精度在育种计划的早期阶段，并尽量减少世代间隔。
Intercrop breeding programs using genomic selection can produce faster genetic gain than intercrop breeding programs using phenotypic selection. Intercropping is an agricultural practice in which two or more component crops are grown together. It can lead to enhanced soil structure and fertility, improved weed suppression, and better control of pests and diseases. Especially in subsistence agriculture, intercropping has great potential to optimize farming and increase profitability. However, breeding for intercrop varieties is complex as it requires simultaneous improvement of two or more component crops that combine well in the field. We hypothesize that genomic selection can significantly simplify and accelerate the process of breeding crops for intercropping. Therefore, we used stochastic simulation to compare four different intercrop breeding programs implementing genomic selection and an intercrop breeding program entirely based on phenotypic selection. We assumed three different levels of genetic correlation between monocrop grain yield and intercrop grain yield to investigate how the different breeding strategies are impacted by this factor. We found that all four simulated breeding programs using genomic selection produced significantly more intercrop genetic gain than the phenotypic selection program regardless of the genetic correlation with monocrop yield. We suggest a genomic selection strategy which combines monocrop and intercrop trait information to predict general intercropping ability to increase selection accuracy in the early stages of a breeding program and to minimize the generation interval.