2022
DOI: 10.54112/bcsrj.v2022i1.197
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Genetic Variability Studies for Yield and Within Boll Yield Components in Cotton (Gossypium Hirsutum L.)

Abstract: Cotton is a prominent fiber crop all across the world, including Pakistan.. But the production of cotton is relatively low in Pakistan. As boll is the basic determinant for yield in cotton crop, the study on within boll yield parameters was carried out using twenty exotic accessions of cotton to check their variability for within boll yield components. The experiment was performed at the research area of the department of Plant Breeding and Genetics, University of Agriculture, Faisalabad. The genotypes were se… Show more

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Cited by 6 publications
(7 citation statements)
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“…In recent years, the rise of Big Data and cloud computing has further accelerated the integration of AI in agriculture (Mehboob et al, 2020a(Mehboob et al, , 2020bMudasir et al, 2021;Nadeem et al, 2022). The ability to collect, store, and analyze massive amounts of agricultural data has paved the way for more sophisticated AI applications (Hamza et al, 2018;Kamal et al, 2019;Mustafa et al, 2022;Razzaq et al, 2020;Razzaq et al, 2021;Zafar et al, 2020;Zafar et al, 2022).…”
Section: Historical Perspective Of Ai In Agriculturementioning
confidence: 99%
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“…In recent years, the rise of Big Data and cloud computing has further accelerated the integration of AI in agriculture (Mehboob et al, 2020a(Mehboob et al, , 2020bMudasir et al, 2021;Nadeem et al, 2022). The ability to collect, store, and analyze massive amounts of agricultural data has paved the way for more sophisticated AI applications (Hamza et al, 2018;Kamal et al, 2019;Mustafa et al, 2022;Razzaq et al, 2020;Razzaq et al, 2021;Zafar et al, 2020;Zafar et al, 2022).…”
Section: Historical Perspective Of Ai In Agriculturementioning
confidence: 99%
“…Predictive analysis in agriculture involves the use of historical data, weather forecasts, and other relevant parameters to make data-driven predictions about future events and outcomes. By leveraging AI techniques, farmers can anticipate potential challenges and make informed decisions to optimize resource allocation and maximize crop yields (Nadeem et al, 2022;SHAFIQUE et al, 2023;SHAH et al, 2023;Shahani et al, 2021).…”
Section: Predictive Analysis In Agriculturementioning
confidence: 99%
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“…It was also observed that grains were shriveled by drought stress and their degree depends on variety and prevailed drought stress. Shriveling also effect grain weight and (Mudasir et al, 2021;Nadeem et al, 2022;Zafar et al, 2020;Zafar et al, 2022).…”
Section: Thousand Grain Weight (Tgw) (Gram)mentioning
confidence: 99%
“…These case studies demonstrate the potential of genetic engineering for seed quality enhancement. However, it's important to note that the use of genetically modified crops is subject to regulatory approval and public acceptance, both of which can vary significantly between countries and regions (Mudasir et al, 2021;Nadeem et al, 2022;SHAFIQUE et al, 2023). Furthermore, the long-term environmental and health impacts of genetically modified crops are still under investigation.…”
Section: Case Studies Of Genetic Engineering For Seed Quality Enhance...mentioning
confidence: 99%