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Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition

Understanding the link between root morphological traits and yields is crucial for improving crop management. To evaluate this link, a pot experiment was conducted in the net house of the Department of Agronomy, Bangladesh Agricultural University, Mymensingh, Bangladesh during the boro(dry season ir...

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Autores principales: Kaysar, Md. Salahuddin, Sarker, Uttam Kumer, Monira, Sirajam, Hossain, Md. Alamgir, Haque, Md. Sabibul, Somaddar, Uzzal, Saha, Gopal, Chaki, Apurbo Kumar, Uddin, Md. Romij
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605592/
https://www.ncbi.nlm.nih.gov/pubmed/36294954
http://dx.doi.org/10.3390/life12101519
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author Kaysar, Md. Salahuddin
Sarker, Uttam Kumer
Monira, Sirajam
Hossain, Md. Alamgir
Haque, Md. Sabibul
Somaddar, Uzzal
Saha, Gopal
Chaki, Apurbo Kumar
Uddin, Md. Romij
author_facet Kaysar, Md. Salahuddin
Sarker, Uttam Kumer
Monira, Sirajam
Hossain, Md. Alamgir
Haque, Md. Sabibul
Somaddar, Uzzal
Saha, Gopal
Chaki, Apurbo Kumar
Uddin, Md. Romij
author_sort Kaysar, Md. Salahuddin
collection PubMed
description Understanding the link between root morphological traits and yields is crucial for improving crop management. To evaluate this link, a pot experiment was conducted in the net house of the Department of Agronomy, Bangladesh Agricultural University, Mymensingh, Bangladesh during the boro(dry season irrigated) rice growing season of 2019–20. Thirteen cultivars, named BRRI dhan29, BRRI dhan58, BRRI dhan67, BRRI dhan74, BRRI dhan81, Binadhan-8, Binadhan-10, Hira-2, Tej gold, SL8H, Jagliboro, Rata boro, and Lakhai, were used following a completely randomized design (CRD) with three replications. The cultivars were screened for root number (RN), root length (RL), root volume (RV), root porosity (RP), leaf area index (LAI), total dry matter (TDM), and grain yield (GY). A considerable variation in root traits, LAI, and TDM were found among the studied cultivars, and the highest GY (26.26 g pot(−1))was found for Binahan-10. Thirteen cultivars were grouped into three clusters using hierarchical cluster analysis, where clusters 1, 2, and 3 assembled with 3, 5, and 5 cultivars, respectively. Considering all of the studied traits, Cluster 3 (Binadhan-10, Hira-2, BRRI dhan29, BRRI dhan58, and Tejgold) showed promise, followed by Cluster 2 (BRRI dhan81, BRRI dhan67, SL8H, BRRI dhan74, and Binadhan-8). Principal component analysis (PCA) revealed that the RV, RDW, RFW, TDM, and GY are effective traits for rice cultivation.
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spelling pubmed-96055922022-10-27 Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition Kaysar, Md. Salahuddin Sarker, Uttam Kumer Monira, Sirajam Hossain, Md. Alamgir Haque, Md. Sabibul Somaddar, Uzzal Saha, Gopal Chaki, Apurbo Kumar Uddin, Md. Romij Life (Basel) Article Understanding the link between root morphological traits and yields is crucial for improving crop management. To evaluate this link, a pot experiment was conducted in the net house of the Department of Agronomy, Bangladesh Agricultural University, Mymensingh, Bangladesh during the boro(dry season irrigated) rice growing season of 2019–20. Thirteen cultivars, named BRRI dhan29, BRRI dhan58, BRRI dhan67, BRRI dhan74, BRRI dhan81, Binadhan-8, Binadhan-10, Hira-2, Tej gold, SL8H, Jagliboro, Rata boro, and Lakhai, were used following a completely randomized design (CRD) with three replications. The cultivars were screened for root number (RN), root length (RL), root volume (RV), root porosity (RP), leaf area index (LAI), total dry matter (TDM), and grain yield (GY). A considerable variation in root traits, LAI, and TDM were found among the studied cultivars, and the highest GY (26.26 g pot(−1))was found for Binahan-10. Thirteen cultivars were grouped into three clusters using hierarchical cluster analysis, where clusters 1, 2, and 3 assembled with 3, 5, and 5 cultivars, respectively. Considering all of the studied traits, Cluster 3 (Binadhan-10, Hira-2, BRRI dhan29, BRRI dhan58, and Tejgold) showed promise, followed by Cluster 2 (BRRI dhan81, BRRI dhan67, SL8H, BRRI dhan74, and Binadhan-8). Principal component analysis (PCA) revealed that the RV, RDW, RFW, TDM, and GY are effective traits for rice cultivation. MDPI 2022-09-29 /pmc/articles/PMC9605592/ /pubmed/36294954 http://dx.doi.org/10.3390/life12101519 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kaysar, Md. Salahuddin
Sarker, Uttam Kumer
Monira, Sirajam
Hossain, Md. Alamgir
Haque, Md. Sabibul
Somaddar, Uzzal
Saha, Gopal
Chaki, Apurbo Kumar
Uddin, Md. Romij
Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition
title Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition
title_full Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition
title_fullStr Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition
title_full_unstemmed Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition
title_short Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition
title_sort dissecting the relationship between root morphological traits and yield attributes in diverse rice cultivars under subtropical condition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605592/
https://www.ncbi.nlm.nih.gov/pubmed/36294954
http://dx.doi.org/10.3390/life12101519
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