Genomic selection in plants: a guide for breeders
"Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. But its potential has been understated due to the limited adaptation in various crops. Marker assisted selection (MAS) has been the method of choice for plant breed...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2022
|
| Ausgabe: | First edition |
| Schriftenreihe: | Current plant science: novel concepts and innovative strategies
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. But its potential has been understated due to the limited adaptation in various crops. Marker assisted selection (MAS) has been the method of choice for plant breeders while using the genomic information in breeding pipeline. MAS, however, fails to capture vital minor gene effects while focussing only on the major genes. Ignoring majority of the genes involved in a trait, especially quantitative trait such as yield, is not ideal for breeding advancement. The main aim of statistical methodologies coming under the umbrella of GS on using the whole genome information is to predict potential candidates for breeding advancement while optimizing the use of resources such as land, manpower, and most importantly time. Lack of proper understanding of the methods and its applications is one of the reasons why breeders shy away from this tool. The book aims biologists especially breeders and thus provides a comprehensive idea on the statistical methodologies used in GS, guidance on the choice of GS models and the design of datasets. The book also encourages the readers to adopt GS by demonstrating the current scenarios of these models in some of the important crops in the genera of oilseeds, vegetables, legumes, tuber crops, and cereals. Having an understanding about the GS models and going through the success stories are not enough, however, to implement those by a breeder. Therefore, the book also provides hands-on scripts on GS data design and modelling in a popular and free statistical program for the breeders to use. Additionally, prospective in GS model development and thereby enhancement in crop improvement programs is discussed"-- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | vii, 224 Seiten Diagramme |
| ISBN: | 9781032103693 9781032103501 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV048600320 | ||
| 003 | DE-604 | ||
| 005 | 20250414 | ||
| 007 | t| | ||
| 008 | 221208s2022 xxu|||| |||| 00||| eng d | ||
| 020 | |a 9781032103693 |c pbk |9 978-1-032-10369-3 | ||
| 020 | |a 9781032103501 |c hbk |9 978-1-032-10350-1 | ||
| 024 | 3 | |a 9781032103501 | |
| 035 | |a (OCoLC)1338307058 | ||
| 035 | |a (DE-599)KXP1794322973 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c XD-US |a xxk |c XA-GB | ||
| 049 | |a DE-355 |a DE-M49 | ||
| 082 | 0 | |a 572.8/6 | |
| 084 | |a WG 3300 |0 (DE-625)148543: |2 rvk | ||
| 084 | |a WG 9300 |0 (DE-625)148627: |2 rvk | ||
| 084 | |a BIO 450 |2 stub | ||
| 084 | |a LAN 220 |2 stub | ||
| 245 | 1 | 0 | |a Genomic selection in plants |b a guide for breeders |c editors: Ani A. Elias (Ramalingaswami Fellow, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamil Nadu, India), Shailendra Goel (Professor, Department of Botany, University of Delhi, Delhi, India) |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c 2022 | |
| 300 | |a vii, 224 Seiten |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Current plant science: novel concepts and innovative strategies | |
| 500 | |a Includes bibliographical references and index | ||
| 520 | 3 | |a "Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. But its potential has been understated due to the limited adaptation in various crops. Marker assisted selection (MAS) has been the method of choice for plant breeders while using the genomic information in breeding pipeline. MAS, however, fails to capture vital minor gene effects while focussing only on the major genes. Ignoring majority of the genes involved in a trait, especially quantitative trait such as yield, is not ideal for breeding advancement. The main aim of statistical methodologies coming under the umbrella of GS on using the whole genome information is to predict potential candidates for breeding advancement while optimizing the use of resources such as land, manpower, and most importantly time. Lack of proper understanding of the methods and its applications is one of the reasons why breeders shy away from this tool. The book aims biologists especially breeders and thus provides a comprehensive idea on the statistical methodologies used in GS, guidance on the choice of GS models and the design of datasets. The book also encourages the readers to adopt GS by demonstrating the current scenarios of these models in some of the important crops in the genera of oilseeds, vegetables, legumes, tuber crops, and cereals. Having an understanding about the GS models and going through the success stories are not enough, however, to implement those by a breeder. Therefore, the book also provides hands-on scripts on GS data design and modelling in a popular and free statistical program for the breeders to use. Additionally, prospective in GS model development and thereby enhancement in crop improvement programs is discussed"-- | |
| 650 | 0 | 7 | |a Pflanzenzüchtung |0 (DE-588)4045599-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Genom |0 (DE-588)4156640-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Auslese |0 (DE-588)4003800-2 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Genomics | |
| 653 | 0 | |a Plant breeding | |
| 689 | 0 | 0 | |a Pflanzenzüchtung |0 (DE-588)4045599-3 |D s |
| 689 | 0 | 1 | |a Genom |0 (DE-588)4156640-3 |D s |
| 689 | 0 | 2 | |a Auslese |0 (DE-588)4003800-2 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Elias, Ani A. |4 edt | |
| 700 | 1 | |a Goel, Shailendra |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-003-21499-1 |
| 856 | 4 | 2 | |m Digitalisierung UB Regensburg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033975853&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033975853 | |
Datensatz im Suchindex
| _version_ | 1829394387041255424 |
|---|---|
| adam_text |
Contents οο χ χ χ χ χ χ χ χ χ χχχ χ χ χ χ χ ^^ Preface 1. Genomic Selection Models for Plant Breeding Schemes: The Power of Choice Ani A Elias 2. Hands on Training Optimization in Genomic Selection Isidro y Sanchez Julio, Rio Simon and Akdemir Deniz iii 1 23 3. Genomic Selection in Wheat: Progress, Opportunities, 51 and Challenges Deepmala Sehgal, Suchismita Mondai, Juan Bürgern, Umesh Rosyara, Alison R Bentley and Susanne Dreisigacker 4. Genomic Selection in Rice: Current Status and Future Prospects Anilkumar C, Rameswar Prasad Sah, Muhammed Azharudheen TP, Sunitha NC, Sasmita Behera, BC Marndi, Tilak Raj Sharma and Anil Kumar Singh 68 5. Genomic Selection in Groundnut, Chickpea, and Pearl Millet: Applications and Prospects Murali T Variath, Sunil Chaudhari, Srinivas Samineni, Dnyaneshwar В Deshmukh, Anand Kannati and Sudarshan Patil 83 6. Genomic Selection in Solanaceae՛. Status, Opportunities and Future Prospects Vandana Jaiswal, Vijay Gahlaut, Sushil Satish Chhapekar and Nirala Ramchiary 111 7. Genomic Selection in Oilseed Brassica: Potential, Prospects and Challenges Bangkim Rajkumar, Garima and Priya Panjabi 132 8. Current Status of Genomic Selection in Oilseed Crops Mégha Sharma, Pooja Kaushik, Ani A Elias and Shailendra Goel 153
( \j/ireflf vii 9. Harnessing the Potential of Genomic Selection in Potato Praveen Kumar Oraon, Priyanka and Sapinder Bali 174 10. Genomic Selection Schemes for Long-term Gain Ani A Elias and Jean-Luc Jannink 197 Appendix I 212 Appendix II 215 Index 219 |
| adam_txt |
Contents οο χ χ χ χ χ χ χ χ χ χχχ χ χ χ χ χ ^^ Preface 1. Genomic Selection Models for Plant Breeding Schemes: The Power of Choice Ani A Elias 2. Hands on Training Optimization in Genomic Selection Isidro y Sanchez Julio, Rio Simon and Akdemir Deniz iii 1 23 3. Genomic Selection in Wheat: Progress, Opportunities, 51 and Challenges Deepmala Sehgal, Suchismita Mondai, Juan Bürgern, Umesh Rosyara, Alison R Bentley and Susanne Dreisigacker 4. Genomic Selection in Rice: Current Status and Future Prospects Anilkumar C, Rameswar Prasad Sah, Muhammed Azharudheen TP, Sunitha NC, Sasmita Behera, BC Marndi, Tilak Raj Sharma and Anil Kumar Singh 68 5. Genomic Selection in Groundnut, Chickpea, and Pearl Millet: Applications and Prospects Murali T Variath, Sunil Chaudhari, Srinivas Samineni, Dnyaneshwar В Deshmukh, Anand Kannati and Sudarshan Patil 83 6. Genomic Selection in Solanaceae՛. Status, Opportunities and Future Prospects Vandana Jaiswal, Vijay Gahlaut, Sushil Satish Chhapekar and Nirala Ramchiary 111 7. Genomic Selection in Oilseed Brassica: Potential, Prospects and Challenges Bangkim Rajkumar, Garima and Priya Panjabi 132 8. Current Status of Genomic Selection in Oilseed Crops Mégha Sharma, Pooja Kaushik, Ani A Elias and Shailendra Goel 153
( \j/ireflf vii 9. Harnessing the Potential of Genomic Selection in Potato Praveen Kumar Oraon, Priyanka and Sapinder Bali 174 10. Genomic Selection Schemes for Long-term Gain Ani A Elias and Jean-Luc Jannink 197 Appendix I 212 Appendix II 215 Index 219 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author2 | Elias, Ani A. Goel, Shailendra |
| author2_role | edt edt |
| author2_variant | a a e aa aae s g sg |
| author_facet | Elias, Ani A. Goel, Shailendra |
| building | Verbundindex |
| bvnumber | BV048600320 |
| classification_rvk | WG 3300 WG 9300 |
| classification_tum | BIO 450 LAN 220 |
| ctrlnum | (OCoLC)1338307058 (DE-599)KXP1794322973 |
| dewey-full | 572.8/6 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 572 - Biochemistry |
| dewey-raw | 572.8/6 |
| dewey-search | 572.8/6 |
| dewey-sort | 3572.8 16 |
| dewey-tens | 570 - Biology |
| discipline | Biologie Agrarwissenschaft Pflanzenbau |
| discipline_str_mv | Biologie |
| edition | First edition |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV048600320</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20250414</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">221208s2022 xxu|||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781032103693</subfield><subfield code="c">pbk</subfield><subfield code="9">978-1-032-10369-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781032103501</subfield><subfield code="c">hbk</subfield><subfield code="9">978-1-032-10350-1</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9781032103501</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1338307058</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1794322973</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield><subfield code="a">xxk</subfield><subfield code="c">XA-GB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-M49</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">572.8/6</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WG 3300</subfield><subfield code="0">(DE-625)148543:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WG 9300</subfield><subfield code="0">(DE-625)148627:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIO 450</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">LAN 220</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Genomic selection in plants</subfield><subfield code="b">a guide for breeders</subfield><subfield code="c">editors: Ani A. Elias (Ramalingaswami Fellow, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamil Nadu, India), Shailendra Goel (Professor, Department of Botany, University of Delhi, Delhi, India)</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Boca Raton ; London ; New York</subfield><subfield code="b">CRC Press, Taylor & Francis Group</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">vii, 224 Seiten</subfield><subfield code="b">Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Current plant science: novel concepts and innovative strategies</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. But its potential has been understated due to the limited adaptation in various crops. Marker assisted selection (MAS) has been the method of choice for plant breeders while using the genomic information in breeding pipeline. MAS, however, fails to capture vital minor gene effects while focussing only on the major genes. Ignoring majority of the genes involved in a trait, especially quantitative trait such as yield, is not ideal for breeding advancement. The main aim of statistical methodologies coming under the umbrella of GS on using the whole genome information is to predict potential candidates for breeding advancement while optimizing the use of resources such as land, manpower, and most importantly time. Lack of proper understanding of the methods and its applications is one of the reasons why breeders shy away from this tool. The book aims biologists especially breeders and thus provides a comprehensive idea on the statistical methodologies used in GS, guidance on the choice of GS models and the design of datasets. The book also encourages the readers to adopt GS by demonstrating the current scenarios of these models in some of the important crops in the genera of oilseeds, vegetables, legumes, tuber crops, and cereals. Having an understanding about the GS models and going through the success stories are not enough, however, to implement those by a breeder. Therefore, the book also provides hands-on scripts on GS data design and modelling in a popular and free statistical program for the breeders to use. Additionally, prospective in GS model development and thereby enhancement in crop improvement programs is discussed"--</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Pflanzenzüchtung</subfield><subfield code="0">(DE-588)4045599-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Genom</subfield><subfield code="0">(DE-588)4156640-3</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Auslese</subfield><subfield code="0">(DE-588)4003800-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Genomics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Plant breeding</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Pflanzenzüchtung</subfield><subfield code="0">(DE-588)4045599-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Genom</subfield><subfield code="0">(DE-588)4156640-3</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Auslese</subfield><subfield code="0">(DE-588)4003800-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Elias, Ani A.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Goel, Shailendra</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-003-21499-1</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Regensburg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033975853&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033975853</subfield></datafield></record></collection> |
| id | DE-604.BV048600320 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:09:48Z |
| indexdate | 2025-04-14T16:00:41Z |
| institution | BVB |
| isbn | 9781032103693 9781032103501 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033975853 |
| oclc_num | 1338307058 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-M49 DE-BY-TUM |
| owner_facet | DE-355 DE-BY-UBR DE-M49 DE-BY-TUM |
| physical | vii, 224 Seiten Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| series2 | Current plant science: novel concepts and innovative strategies |
| spelling | Genomic selection in plants a guide for breeders editors: Ani A. Elias (Ramalingaswami Fellow, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamil Nadu, India), Shailendra Goel (Professor, Department of Botany, University of Delhi, Delhi, India) First edition Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2022 vii, 224 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Current plant science: novel concepts and innovative strategies Includes bibliographical references and index "Genomic selection (GS) is a promising tool in the field of breeding especially in the era where genomic data is becoming cheaper. But its potential has been understated due to the limited adaptation in various crops. Marker assisted selection (MAS) has been the method of choice for plant breeders while using the genomic information in breeding pipeline. MAS, however, fails to capture vital minor gene effects while focussing only on the major genes. Ignoring majority of the genes involved in a trait, especially quantitative trait such as yield, is not ideal for breeding advancement. The main aim of statistical methodologies coming under the umbrella of GS on using the whole genome information is to predict potential candidates for breeding advancement while optimizing the use of resources such as land, manpower, and most importantly time. Lack of proper understanding of the methods and its applications is one of the reasons why breeders shy away from this tool. The book aims biologists especially breeders and thus provides a comprehensive idea on the statistical methodologies used in GS, guidance on the choice of GS models and the design of datasets. The book also encourages the readers to adopt GS by demonstrating the current scenarios of these models in some of the important crops in the genera of oilseeds, vegetables, legumes, tuber crops, and cereals. Having an understanding about the GS models and going through the success stories are not enough, however, to implement those by a breeder. Therefore, the book also provides hands-on scripts on GS data design and modelling in a popular and free statistical program for the breeders to use. Additionally, prospective in GS model development and thereby enhancement in crop improvement programs is discussed"-- Pflanzenzüchtung (DE-588)4045599-3 gnd rswk-swf Genom (DE-588)4156640-3 gnd rswk-swf Auslese (DE-588)4003800-2 gnd rswk-swf Genomics Plant breeding Pflanzenzüchtung (DE-588)4045599-3 s Genom (DE-588)4156640-3 s Auslese (DE-588)4003800-2 s DE-604 Elias, Ani A. edt Goel, Shailendra edt Erscheint auch als Online-Ausgabe 978-1-003-21499-1 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033975853&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Genomic selection in plants a guide for breeders Pflanzenzüchtung (DE-588)4045599-3 gnd Genom (DE-588)4156640-3 gnd Auslese (DE-588)4003800-2 gnd |
| subject_GND | (DE-588)4045599-3 (DE-588)4156640-3 (DE-588)4003800-2 |
| title | Genomic selection in plants a guide for breeders |
| title_auth | Genomic selection in plants a guide for breeders |
| title_exact_search | Genomic selection in plants a guide for breeders |
| title_exact_search_txtP | Genomic selection in plants a guide for breeders |
| title_full | Genomic selection in plants a guide for breeders editors: Ani A. Elias (Ramalingaswami Fellow, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamil Nadu, India), Shailendra Goel (Professor, Department of Botany, University of Delhi, Delhi, India) |
| title_fullStr | Genomic selection in plants a guide for breeders editors: Ani A. Elias (Ramalingaswami Fellow, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamil Nadu, India), Shailendra Goel (Professor, Department of Botany, University of Delhi, Delhi, India) |
| title_full_unstemmed | Genomic selection in plants a guide for breeders editors: Ani A. Elias (Ramalingaswami Fellow, Institute of Forest Genetics and Tree Breeding, Coimbatore, Tamil Nadu, India), Shailendra Goel (Professor, Department of Botany, University of Delhi, Delhi, India) |
| title_short | Genomic selection in plants |
| title_sort | genomic selection in plants a guide for breeders |
| title_sub | a guide for breeders |
| topic | Pflanzenzüchtung (DE-588)4045599-3 gnd Genom (DE-588)4156640-3 gnd Auslese (DE-588)4003800-2 gnd |
| topic_facet | Pflanzenzüchtung Genom Auslese |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033975853&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT eliasania genomicselectioninplantsaguideforbreeders AT goelshailendra genomicselectioninplantsaguideforbreeders |