外文摘要：Breeding for disease resistance is a central component of strategies implemented to mitigate biotic stress impacts on crop yield. Conventionally, genotypes of a plant population are evaluated through a labor-intensive process of assigning visual scores (VS) of susceptibility (or resistance) by specifically trained staff, which limits manageable volumes and repeatability of evaluation trials. Remote sensing (RS) tools have the potential to streamline phenotyping processes and to deliver more standardized results at higher through-put. Here, we use a two-year evaluation trial of three newly developed biparental populations of maize doubled haploid lines (DH) to compare the results of genomic analyses of resistance to common rust (CR) when phenotyping is either based on conventional VS or on RS-derived (vegetation) indices. As a general observation, for each population x year combination, the broad sense heritability of VS was greater than or very close to the maximum heritability across all RS indices. Moreover, results of linkage mapping as well as of genomic prediction (GP), suggest that VS data was of a higher quality, indicated by higher -log(p) values in the linkage studies and higher predictive abilities for genomic prediction. Nevertheless, despite the qualitative differences between the phenotyping methods, each successfully identified the same genomic region on chromosome 10 as being associated with disease resistance. This region is likely related to the known CR resistance locus Rp1. Our results indicate that RS technology can be used to streamline genetic evaluation processes for foliar disease resistance in maize. In particular, RS can potentially reduce costs of phenotypic evaluations and increase trialing capacities.
外文关键词：remote sensing;Vegetation indices;Common rust;Rp1
作者：Naranjo, Sergio;Gerard, Bruno;Crossa, Jose;Loladze, Alexander;Rodrigues, Francelino A;Petroli, Cesar D;Munoz-Zavala, Carlos;Vicente, Felix San;Montesinos-Lopez, Osval A;Martini, Johannes W R
作者单位：Int Maize & Wheat Improvement Ctr CIMMYT;Univ Colima;Univ Mohammed VI Polytech UM6P
期刊名称：FIELD CROPS RESEARCH
期刊影响因子：0.0
出版年份：2024
出版刊次：308
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台