Estimating wheat spike-leaf composite indicator (SLI) dynamics by coupling spectral indices and machine learning-Reference-Cited by-同舟云学术

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Estimating wheat spike-leaf composite indicator (SLI) dynamics by coupling spectral indices and machine learning

Published:2024-06 Issue:3 Volume:12 Page:927-937
ISSN:2214-5141
Container-title:The Crop Journal
language:en
Short-container-title:The Crop Journal

Author:

Tao Haiyu^ORCID,Zhou Ruiheng,Tang Yining,Li Wanyu,Yao Xia,Cheng Tao,Zhu Yan,Cao Weixing,Tian Yongchao

Publisher

Elsevier BV

Reference59 articles.

1. Improving photosynthetic efficiency for greater yield;Zhu;Annu. Rev. Plant Biol.,2010

2. The impact of photosynthesis on initiation of leaf senescence;Krieger-Liszkay;Physiol. Plant.,2019

3. Potential importance of the ear as a post-anthesis carbon source to improve drought tolerance in spring wheat (Triticum aestivum L.);Kashiwagi;J. Agron. Crop Sci.,2021

4. The nitrogen contribution of different plant parts to wheat grains: exploring genotype, water, and nitrogen effects;Sanchez-Bragado;Front. Plant Sci.,2017

5. The contribution of spike photosynthesis to wheat yield needs to be considered in process-based crop models;Zhang;Field Crops Res.,2020

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