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200620s2019 enk o 000 0 eng d |
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|a 1159166154
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|a 9780128185827
|q (electronic bk.)
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|z 9780128185810
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|a (OCoLC)1158582069
|z (OCoLC)1159166154
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|a SB106.I47
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|a 631
|2 23
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|a Advancement in crop improvement techniques /
|c edited by Narendra Tuteja [and more].
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|a Duxford :
|b Woodhead Publishing,
|c 2019.
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| 300 |
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Intro -- Advancement in Crop Improvement Techniques -- Copyright -- Dedication -- Dedicated to Ph.D. students and collaborators of Dr. Tuteja -- Contents -- Contributors -- Editors biography -- Foreword -- Preface -- Views and visions -- Views and visions -- References -- Chapter 1: Combination of DNA markers and eQTL information for introgression of multiple salt-tolerance traits in rice -- 1. Introduction -- 2. DNA markers for rice breeding -- 2.1. SSR markers -- 2.2. SNP markers -- 2.3. Fluorescent markers -- 2.3.1. Illumina�s BeadArray platform -- 2.3.2. Taqman
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|a 2.3.2.1. TaqMan principle for SNP detection -- 2.3.3. KASP technology: An efficient approach for breeding applications -- 2.3.3.1. Chemistry of KASP technology -- 2.3.3.2. Reaction mechanism -- 2.3.3.3. KASP as a better choice -- 3. Use of markers -- 3.1. Mapping, QTL information, and use -- 3.1.1. Mapping population -- 3.1.2. Linkage mapping -- 3.1.3. QTL detection -- 3.1.4. Identified QTLs -- 3.1.5. Candidate genes cosegregating with QTL regions -- 3.2. RNAseq, eQTL information, and use -- 3.2.1. Discovering the expression polymorphism
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|a 3.2.2. Linking expression polymorphism to genetic polymorphism -- 3.2.3. Significance of studying eQTLs -- 3.2.4. Case studies on plant eQTLs -- 3.2.5. Salt stress responsive eQTL study on Horkuch/IR29 cross population -- 3.2.6. Challenges in studying eQTLs -- 3.3. GWAS -- 3.4. Breeding -- 4. Computational analysis and technology advancement -- 4.1. Mapping populations -- 4.2. Phenotyping strategies -- 4.2.1. High-throughput automated image-based phenotyping -- 4.3. Genotyping strategies -- 4.3.1. High-throughput DNA isolation methods -- 4.3.2. Genotyping by sequencing
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|a 4.3.3. Functional/diagnostic markers -- 4.4. Computational tools for linkage and QTL mapping -- 4.5. Breeding strategies -- 4.5.1. GS is a way forward for MAS -- 4.5.2. Rapid generation advance and transforming rice breeding -- 4.5.3. Targeting induced local lesions in genome (TILLING) -- 4.5.4. Marker-assisted gene pyramiding -- 5. Conclusion and future perspectives -- References -- Chapter 2: The scope of transformation and genome editing for quantitative trait improvements in rice -- 1. Introduction -- 2. Transformation technologies -- 2.1. Agrobacterium-mediated -- 2.2. Biolistics
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|a 2.3. In planta methods -- 2.4. Genome editing -- 3. Target quantitative traits -- 3.1. Biotic and abiotic stress -- 3.1.1. Conventional transformation -- 3.1.2. Crop improvement through CRISPR-CAS -- 3.2. Yield stability under stress -- 3.2.1. Conventional transformation -- 3.2.2. Crop improvement through CRISPR -- 4. Computational analysis -- 5. Technology advancement -- 6. Conclusion and future perspectives -- References -- Chapter 3: Tweaking microRNA-mediated gene regulation for crop improvement -- 1. Introduction -- 2. Contribution of miRNA-mediated regulation in plant growth and development
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| 650 |
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0 |
|a Crop improvement.
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| 650 |
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6 |
|a Cultures
|x Am�elioration.
|0 (CaQQLa)201-0021546
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| 650 |
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7 |
|a Crop improvement.
|2 fast
|0 (OCoLC)fst00883912
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| 700 |
1 |
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|a Tuteja, Narendra.
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| 776 |
0 |
8 |
|i Print version:
|z 0128185813
|z 9780128185810
|w (OCoLC)1127931657
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| 856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128185810
|z Texto completo
|
