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- W3048366201 abstract "Empirical cotton breeding was based upon the concept of selecting single and best high-yielding progeny from the segregating populations to develop a cultivar. It helped in releasing of high yielding varieties with superior fibre quality through conventional breeding. Though the production of cotton has been increased manifold in the last decades, but it has also seen enormous ebb and flow of yield uncertainties during the past several years. Therefore, the development of climatic resilient cotton ideotypes through the introduction of wild alleles and using contemporary genetic markers have become inevitable. Emerging genome engineering technologies such as CRISPR/Cas9 system can also potentially exploited to edit the disease susceptible and negative regulators of yield related genes in cotton. In the present review we concentrate on accomplishments and forthcoming of plant breeding and biotechnology to facelift the cotton breeding programs." @default.
- W3048366201 created "2020-08-18" @default.
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- W3048366201 date "2020-08-13" @default.
- W3048366201 modified "2023-10-13" @default.
- W3048366201 title "Revamping of Cotton Breeding Programs for Efficient Use of Genetic Resources under Changing Climate" @default.
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- W3048366201 cites W1808108193 @default.
- W3048366201 cites W1832554097 @default.
- W3048366201 cites W1980349467 @default.
- W3048366201 cites W2003303745 @default.
- W3048366201 cites W2016661782 @default.
- W3048366201 cites W2017276216 @default.
- W3048366201 cites W2033611197 @default.
- W3048366201 cites W2035523956 @default.
- W3048366201 cites W2044360758 @default.
- W3048366201 cites W2060553554 @default.
- W3048366201 cites W2062046551 @default.
- W3048366201 cites W2072715465 @default.
- W3048366201 cites W2080063168 @default.
- W3048366201 cites W2087715825 @default.
- W3048366201 cites W2103272137 @default.
- W3048366201 cites W2110091705 @default.
- W3048366201 cites W2135828473 @default.
- W3048366201 cites W2161729108 @default.
- W3048366201 cites W2205157337 @default.
- W3048366201 cites W2335499660 @default.
- W3048366201 cites W2338859615 @default.
- W3048366201 cites W2398597893 @default.
- W3048366201 cites W2472030734 @default.
- W3048366201 cites W2491976038 @default.
- W3048366201 cites W2514848545 @default.
- W3048366201 cites W2517879681 @default.
- W3048366201 cites W2528900269 @default.
- W3048366201 cites W2583631036 @default.
- W3048366201 cites W2593838529 @default.
- W3048366201 cites W2594359836 @default.
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- W3048366201 cites W2616839861 @default.
- W3048366201 cites W2620429610 @default.
- W3048366201 cites W2622014095 @default.
- W3048366201 cites W2737373817 @default.
- W3048366201 cites W2740742453 @default.
- W3048366201 cites W2766748473 @default.
- W3048366201 cites W2768351193 @default.
- W3048366201 cites W2772574128 @default.
- W3048366201 cites W2800524954 @default.
- W3048366201 cites W2803236099 @default.
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- W3048366201 cites W2807550987 @default.
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- W3048366201 cites W2889949255 @default.
- W3048366201 cites W2893699366 @default.
- W3048366201 cites W2902217270 @default.
- W3048366201 cites W2902880215 @default.
- W3048366201 cites W2909352299 @default.
- W3048366201 cites W2913474577 @default.
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- W3048366201 cites W2925183267 @default.
- W3048366201 cites W2939328747 @default.
- W3048366201 cites W2939636329 @default.
- W3048366201 cites W2942596964 @default.
- W3048366201 cites W2946167992 @default.
- W3048366201 cites W2946923022 @default.
- W3048366201 cites W2955052158 @default.
- W3048366201 cites W2980504693 @default.
- W3048366201 cites W2983573381 @default.
- W3048366201 cites W2988055515 @default.
- W3048366201 cites W2990286735 @default.
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- W3048366201 cites W3004683207 @default.
- W3048366201 cites W3004957144 @default.
- W3048366201 cites W3005345420 @default.
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- W3048366201 doi "https://doi.org/10.3390/agronomy10081190" @default.
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