Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Apurva Khanna"'
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
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
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
Autor:
John Damien Platten, Roberto Fritsche-Neto, Alaine Gulles, Waseem Hussain, Gem Faustino, Apurva Khanna, Joie Ramos, Ma Teresa Sta Cruz, Jérôme Bartholome, Daniel Joseph Pisano, Mahender Anumalla, Sankalp Bhosale, Margaret Catolos
Publikováno v:
Rice
BackgroundEstimation of 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 b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd8b988ff0274529ef9e9516443cde05
https://doi.org/10.21203/rs.3.rs-910539/v1
https://doi.org/10.21203/rs.3.rs-910539/v1
Autor:
B. Haritha, Ashok Kumar Singh, M. Nagarajan, S. Gopala Krishnan, Ranjith Kumar Ellur, Prolay Kumar Bhowmick, Kunnummal Kurungara Vinod, Apurva Khanna
Publikováno v:
Fungal Biology ISBN: 9783030605841
Blast is one of the devastating diseases of rice which cause significant yield losses. Blast is mainly managed by the use of fungicides. However, this approach is not eco-friendly and causes health hazards. Basmati is the specialty rice of India with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19491d5111cf9990675661dc35be9b8b
https://doi.org/10.1007/978-3-030-60585-8_2
https://doi.org/10.1007/978-3-030-60585-8_2
Autor:
Joie Ramos, Mahender Anumalla, Apurva Khanna, Sankalp Bhosale, Margaret Catolos, Waseem Hussain, Ma Teresa Sta Cruz
Phenotypic data analysis is a key component in crop breeding to extract meaningful insights from data in making better breeding decisions. Each year the rainfed rice breeding (RRB) program at IRRI conducts trials in the national agricultural research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce2b36cd6c225565012527648a5d1255
https://doi.org/10.21203/rs.3.rs-49247/v1
https://doi.org/10.21203/rs.3.rs-49247/v1
Autor:
Tapan Kumar Mondal, Apurva Khanna, Ranjith Kumar Ellur, Ashok Kumar Singh, S. Gopala Krishnan
Publikováno v:
Compendium of Plant Genomes ISBN: 9783319719962
The Oryza genus comprises of 24 well-recognized, morphologically distinct species that are classified into four different major complexes, consisting of ten different types of genomes. Apart from that, there are some species which are considered to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b11dcd0ccb86c9a4e95e6ed85ac0c8e
https://doi.org/10.1007/978-3-319-71997-9_26
https://doi.org/10.1007/978-3-319-71997-9_26
Autor:
Ashok Kumar Singh, Amolkumar U. Solanke, Pankaj Singh, S. Gopala Krishnan, Apurva Khanna, Priyanka Jain, Tilak Raj Sharma, Vinay Sharma, Ritu Kapoor
Publikováno v:
Frontiers in Plant Science. 8
Magnaporthe oryzae infection causes rice blast, a destructive disease that is responsible for considerable decrease in rice yield. Development of resistant varieties via introgressing resistance genes with marker-assisted breeding can eliminate pesti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b92afc096e8ba5a848c310939cea870
https://doi.org/10.3389/fpls.2017.00093
https://doi.org/10.3389/fpls.2017.00093
Autor:
R. Rathour, Swaranjali Dhatwalia, Apurva Khanna, T. R. Sharma, Ashok Kumar Singh, S. Gopala Krishnan, A. Kaachra
Publikováno v:
Molecular Breeding. 36
Rice production and grain quality are severely affected by blast disease caused by the ascomycetous fungus Magnaporthe oryzae. Incorporation of genes that confer broad-spectrum resistance to blast has been a priority area in rice breeding programs. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df6885af07f9f519a2e1da85122f65f4
https://doi.org/10.1007/s11032-016-0599-z
https://doi.org/10.1007/s11032-016-0599-z
Autor:
Priyanka, Jain, Pankaj K, Singh, Ritu, Kapoor, Apurva, Khanna, Amolkumar U, Solanke, S Gopala, Krishnan, Ashok K, Singh, Vinay, Sharma, Tilak R, Sharma
Publikováno v:
Frontiers in Plant Science
Magnaporthe oryzae infection causes rice blast, a destructive disease that is responsible for considerable decrease in rice yield. Development of resistant varieties via introgressing resistance genes with marker-assisted breeding can eliminate pesti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::954e404a50cb663b149f713b81054716
https://pubmed.ncbi.nlm.nih.gov/28280498
https://pubmed.ncbi.nlm.nih.gov/28280498