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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Bibliographic Details
Published in:Life (Basel, Switzerland) Switzerland), 2022-09, Vol.12 (10), p.1519
Main Authors: Kaysar, Md. Salahuddin, Sarker, Uttam Kumer, Monira, Sirajam, Hossain, Md. Alamgir, Haque, Md. Sabibul, Somaddar, Uzzal, Saha, Gopal, Chaki, Apurbo Kumar, Uddin, Md. Romij
Format: Article
Language:English
Subjects:
Agricultural production
Agronomy
Carbohydrates
Cluster analysis
correlation matrix
Crop management
Crop yield
Cultivars
Cultivation
Dry matter
Dry season
Grain cultivation
Growing season
Leaf area
Leaf area index
Morphology
Nutrients
Nutrition
Physiology
Porosity
principal component analysis
Principal components analysis
Rice
root porosity
Seeds
Signal transduction
total dry matter
yield
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Summary: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.
ISSN:2075-1729
2075-1729
DOI:10.3390/life12101519