Leveraging leaf spectroscopy to identify drought-tolerant soybean cultivars

Understanding cultivars' physiological traits variations under abiotic stresses is critical to improve phenotyping and selections of resistant crop varieties. Traditional methods of accessing physiological traits in plants are costly and time consuming, which prevents their use in breeding prog...

書誌詳細
出版年:	Smart Agricultural Technology
主要な著者:	Ramon Gonçalves de Paula, Martha Freire da Silva, Cibele Amaral, Guilherme de Sousa Paula, Laércio Junio da Silva, Herika Paula Pessoa, Felipe Lopes da Silva
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-12-01
主題:	Drought stress Glycine max Physiological selection High-throughput phenotyping Remote sensing Partial least square
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2772375524002314

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