Pearson correlation analysis for yield, yield components and agronomic traits evaluated across three years 2015–16, 2016–17 and 2017–18.

التفاصيل البيبلوغرافية
العنوان: Pearson correlation analysis for yield, yield components and agronomic traits evaluated across three years 2015–16, 2016–17 and 2017–18.
المؤلفون: Rutwik Barmukh (10803369), Khela Ram Soren (4283962), Praveen Madugula (10803372), Priyanka Gangwar (10803375), P. S. Shanmugavadivel (10803378), Chellapilla Bharadwaj (8629020), Aravind K. Konda (10803381), Sushil K. Chaturvedi (10803384), Aditi Bhandari (6667823), Kritika Rajain (10803387), Narendra Pratap Singh (7408052), Manish Roorkiwal (560200), Rajeev K. Varshney (6801590)
سنة النشر: 2021
المجموعة: Smithsonian Institution: Digital Repository
مصطلحات موضوعية: Cell Biology, Genetics, Biotechnology, Developmental Biology, Plant Biology, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, chickpea, RIL, DCP, C 3HC RING finger protein, leucine zipper protein, SNP, 100- seed weight, component, NADH, marker, gene ontology studies, plant height, advance genetics research, QTL mapping analysis, 10 major-effect QTLs, PPR, ICC, agronomic traits, data
الوصف: Pearson correlation analysis for yield, yield components and agronomic traits evaluated across three years 2015–16, 2016–17 and 2017–18.
نوع الوثيقة: dataset
اللغة: unknown
Relation: https://figshare.com/articles/dataset/Pearson_correlation_analysis_for_yield_yield_components_and_agronomic_traits_evaluated_across_three_years_2015_16_2016_17_and_2017_18_/14599125
DOI: 10.1371/journal.pone.0251669.t001
الاتاحة: https://doi.org/10.1371/journal.pone.0251669.t001
Rights: CC BY 4.0
رقم الانضمام: edsbas.3B14E627
قاعدة البيانات: BASE
الوصف
DOI:10.1371/journal.pone.0251669.t001