دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition
المؤلفون: Md. Salahuddin Kaysar, Uttam Kumer Sarker, Sirajam Monira, Md. Alamgir Hossain, Md. Sabibul Haque, Uzzal Somaddar, Gopal Saha, Apurbo Kumar Chaki, Md. Romij Uddin
المصدر: Life, Vol 12, Iss 10, p 1519 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Science
مصطلحات موضوعية: root porosity, total dry matter, principal component analysis, correlation matrix, yield, Science
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2075-1729
Relation: https://www.mdpi.com/2075-1729/12/10/1519; https://doaj.org/toc/2075-1729
DOI: 10.3390/life12101519
URL الوصول: https://doaj.org/article/dbfa4aa949934dafb6e6d9ca0c2d62de
رقم الأكسشن: edsdoj.bfa4aa949934dafb6e6d9ca0c2d62de
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20751729
DOI:10.3390/life12101519