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논문 기본 정보

자료유형
학술저널
저자정보
Bommisetty Reddyyamini (Acharya NG Ranga Agricultural University) Chakravartty Navajeet (AgriGenome Labs Pvt Ltd BTIC MN iHub Genome Valley) Hariprasad K. R. (Acharya NG Ranga Agricultural University) Rameshbabu P. (Agricultural Research Station ANGRAU Nellore India) Sudhakar P. (Department of Crop Physiology S.V Agricultural College Acharya NG Ranga Agricultural University) Bodanapu Reddaiah (AgriGenome Labs Pvt Ltd BTIC MN iHub Genome Valley) Naik Jeevula Bhukya (Department of Molecular Biology and Biotechnology S.V Agricultural College Acharya NG Ranga Agricultural University) Reddy B. V. Bhaskar (Institute of Frontier Technology Regional Agricultural Research Station Tirupati India) Lekkala Sivrama Prasad (AgriGenome Labs Pvt Ltd BTIC MN iHub Genome Valley) Gupta Saurabh (AgriGenome Labs Pvt Ltd BTIC MN iHub Genome Valley) Tanti Bhaben (Department of Botany Gauhati University Assam Gawahati India) Lachagari V. B. R. (AgriGenome Labs Pvt Ltd BTIC MN iHub Genome Valley) Vemireddy Lakshminarayana R. (Acharya NG Ranga Agricultural University)
저널정보
한국식물생명공학회 Plant Biotechnology Reports Plant Biotechnology Reports 제17권 제2호
발행연도
2023.4
수록면
191 - 201 (11page)
DOI
10.1007/s11816-023-00816-x

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The grain number is one of the highly complex and crucial traits determining the grain yield in rice. To identify grain num- ber QTLs in rice, we employed the QTL-seq approach in the 297 F2 population derived from the cross between BPT5204 and NLR33892. In this investigation, five regions viz., qGN1, qGN3, qGN7, qGN9, and qGN12 on chromosomes 1,3,7,9, and 12, respectively, were identified as QTLs governing grain number per panicle in rice. To verify the QTLs identified in the present study, traditional QTL mapping was carried out using InDel markers and previously reported SSRs in the QTL region. From qGN12 QTL, RM6953 showed a significant association with the number of grains per panicle with a phenotypic variance of 24.58, 22.10, and 17.20% in F2, F2:3, and BC1F2 populations, respectively, at < 0.0001 P value, indicating major QTL. From genome resequencing data, a missense variance was observed in the exonic region of LOC_Os12g39330 gene controlling AP2 domain-containing protein which plays an important role in seed development in rice. Hence, this QTL can be a potential target for map-based cloning and marker-assisted transfer to enhance the grain number in rice.

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