An analysis of simulated yield data for pepper shows how genotype × environment interaction in yield can be understood in terms of yield components and their QTLs-Reference-Cited by-同舟云学术

An analysis of simulated yield data for pepper shows how genotype × environment interaction in yield can be understood in terms of yield components and their QTLs

Published:2021-03-14 Issue:3 Volume:61 Page:1826-1842
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Rodrigues Paulo C.¹^ORCID,Heuvelink Ep²,Marcelis Leo F. M.²,Chapman Scott C.³⁴,Eeuwijk Fred A.⁵

Affiliation:

1. Dep. of Statistics Federal Univ. of Bahia Av. Adhemar de Barros, s/n‐Campus de Ondina 40 Salvador Bahia 170‐110 Brazil

2. Horticulture and Product Physiology Wageningen Univ. & Research PO Box 630 Wageningen 6700 AP the Netherlands

3. CSIRO Agriculture and Food Queensland Bioscience Precinct 306 Carmody Road St. Lucia QLD 4067 Australia

4. School of Agriculture and Food Sciences The Univ. of Queensland Gatton Campus, Warrego Highway Gatton QLD 4343 Australia

5. Biometris Wageningen Univ. & Research PO Box 16 Wageningen 6700 AC the Netherlands

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20476

Reference87 articles.

1. Multi-trait and multi-environment QTL analyses of yield and a set of physiological traits in pepper

2. A weighted AMMI algorithm for nonreplicated data

3. Challenges in Integrating Genetic Control in Plant and Crop Models

4. A high-resolution, intraspecific linkage map of pepper (Capsicum annuum L.) and selection of reduced recombinant inbred line subsets for fast mapping

5. QTL analysis of plant development and fruit traits in pepper and performance of selective phenotyping

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