Výsledky vyhledávání - "Mahender Anumalla"

Akademický článek

Streamlining of Simple Sequence Repeat Data Mining Methodologies and Pipelines for Crop Scanning

Autor: Subramaniam Geethanjali, Palchamy Kadirvel, Mahender Anumalla, Nithyananth Hemanth Sadhana, Anandan Annamalai, Jauhar Ali

Publikováno v: Plants, Vol 13, Iss 18, p 2619 (2024)

Genetic markers are powerful tools for understanding genetic diversity and the molecular basis of traits, ushering in a new era of molecular breeding in crops. Over the past 50 years, DNA markers have rapidly changed, moving from hybridization-based

Externí odkaz: https://doaj.org/article/8fc2a5254dd3492facfd3269c254df69

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Akademický článek

Genetic Trends Estimation in IRRIs Rice Drought Breeding Program and Identification of High Yielding Drought-Tolerant Lines

Autor: Apurva Khanna, Mahender Anumalla, Margaret Catolos, Jérôme Bartholomé, Roberto Fritsche-Neto, John Damien Platten, Daniel Joseph Pisano, Alaine Gulles, Ma Teresa Sta. Cruz, Joie Ramos, Gem Faustino, Sankalp Bhosale, Waseem Hussain

Publikováno v: Rice, Vol 15, Iss 1, Pp 1-14 (2022)

Abstract Estimating genetic trends using historical data is an important parameter to check the success of the breeding programs. The estimated genetic trends can act as a guideline to target the appropriate breeding strategies and optimize the breed

Externí odkaz: https://doaj.org/article/6d5ec5955f8f4f2ab80cb9a27ffa3220

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Akademický článek

Open-source analytical pipeline for robust data analysis, visualizations and sharing in crop breeding

Autor: Waseem Hussain, Mahender Anumalla, Margaret Catolos, Apurva Khanna, Ma. Teresa Sta. Cruz, Joie Ramos, Sankalp Bhosale

Publikováno v: Plant Methods, Vol 18, Iss 1, Pp 1-12 (2022)

Abstract Background Developing a systematic phenotypic data analysis pipeline, creating enhanced visualizations, and interpreting the results is crucial to extract meaningful insights from data in making better breeding decisions. Here, we provide an

Externí odkaz: https://doaj.org/article/5ca3551ea1a54f5b865b456e2a1a1f4f

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Akademický článek

Optimizing predictions in IRRI’s rice drought breeding program by leveraging 17 years of historical data and pedigree information

Autor: Apurva Khanna, Mahender Anumalla, Margaret Catolos, Sankalp Bhosale, Diego Jarquin, Waseem Hussain

Publikováno v: Frontiers in Plant Science, Vol 13 (2022)

Prediction models based on pedigree and/or molecular marker information are now an inextricable part of the crop breeding programs and have led to increased genetic gains in many crops. Optimization of IRRI’s rice drought breeding program is crucia

Externí odkaz: https://doaj.org/article/54b20113e5994f60981504d111793c93

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Akademický článek

Population Structure, Diversity and Trait Association Analysis in Rice (Oryza sativa L.) Germplasm for Early Seedling Vigor (ESV) Using Trait Linked SSR Markers.

Autor: Annamalai Anandan, Mahender Anumalla, Sharat Kumar Pradhan, Jauhar Ali

Publikováno v: PLoS ONE, Vol 11, Iss 3, p e0152406 (2016)

Early seedling vigor (ESV) is the essential trait for direct seeded rice to dominate and smother the weed growth. In this regard, 629 rice genotypes were studied for their morphological and physiological responses in the field under direct seeded aer

Externí odkaz: https://doaj.org/article/0eef0b74dfc444c386b2a43fa974f129

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