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 |