Assessment of the phenotypic diversity in natural populations of Annona coriacea Mart.: implications for breeding
Annona coriacea Mart. is a native tree to the savannas of Brazil that produces fruits that have economic, ecological, and dietary potential for use by local communities and the food industry. The conservation and pre-breeding of natural populations of A. coriacea depend on genetic divergence studies...
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Veröffentlicht in: | Genetic resources and crop evolution 2022-03, Vol.69 (3), p.1121-1135 |
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creator | de Sousa, Samara Raquel Costa, Marcones Ferreira Filho, Carlos Humberto Aires Matos Vasconcelos, Lúcio Flavo Lopes de Araújo, Ademir Sérgio Ferreira Castro, Antonio Alberto Jorge Farias de Farias, Ruth Raquel Soares Ferreira-Gomes, Regina Lucia de Almeida Lopes, Ângela Celis |
description | Annona coriacea
Mart. is a native tree to the savannas of Brazil that produces fruits that have economic, ecological, and dietary potential for use by local communities and the food industry. The conservation and pre-breeding of natural populations of
A. coriacea
depend on genetic divergence studies and require knowledge about its characterization and the possible identification of superior genotypes. Therefore, the objective of this study was to quantify genetic divergence in a native population of
A. coriacea
genotypes based on morphological and physicochemical characteristics, estimate the efficiency of descriptors used in the discrimination of the genotypes, and indicate the essential descriptors for the characterization activities. A total of 34 quantitative descriptors were used to describe this diversity, and the data were subjected to multivariate analysis and clustering analysis. The relative importance of the descriptors was measured using the Singh method. The pulp and fruit weight and potassium concentration were the most important descriptors that contributed to the genetic divergence of the populations. The grouping methods (UPGMA and Tocher) allocated to the heterogeneous groups presented high genetic variability, enabling the selection of individuals for hybridization programs with F1 generation gains. The evaluated populations had high phenotypic variability in fruits and seeds. This study identified genotypes that could be introduced into the food and cosmetic industries. These native populations have the potential to be used in breeding programs. |
doi_str_mv | 10.1007/s10722-021-01289-z |
format | Article |
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Mart. is a native tree to the savannas of Brazil that produces fruits that have economic, ecological, and dietary potential for use by local communities and the food industry. The conservation and pre-breeding of natural populations of
A. coriacea
depend on genetic divergence studies and require knowledge about its characterization and the possible identification of superior genotypes. Therefore, the objective of this study was to quantify genetic divergence in a native population of
A. coriacea
genotypes based on morphological and physicochemical characteristics, estimate the efficiency of descriptors used in the discrimination of the genotypes, and indicate the essential descriptors for the characterization activities. A total of 34 quantitative descriptors were used to describe this diversity, and the data were subjected to multivariate analysis and clustering analysis. The relative importance of the descriptors was measured using the Singh method. The pulp and fruit weight and potassium concentration were the most important descriptors that contributed to the genetic divergence of the populations. The grouping methods (UPGMA and Tocher) allocated to the heterogeneous groups presented high genetic variability, enabling the selection of individuals for hybridization programs with F1 generation gains. The evaluated populations had high phenotypic variability in fruits and seeds. This study identified genotypes that could be introduced into the food and cosmetic industries. These native populations have the potential to be used in breeding programs.</description><identifier>ISSN: 0925-9864</identifier><identifier>EISSN: 1573-5109</identifier><identifier>DOI: 10.1007/s10722-021-01289-z</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Annona coriacea ; Biomedical and Life Sciences ; Breeding ; Cluster analysis ; Clustering ; Community ; Divergence ; Food ; Food industry ; Fruits ; Genetic variability ; Genotype & phenotype ; Genotypes ; Germplasm ; Global positioning systems ; GPS ; Grasslands ; Hybridization ; Life Sciences ; Local communities ; Morphology ; Multivariate analysis ; Natural populations ; Physical characteristics ; Plant Genetics and Genomics ; Plant Physiology ; Plant Sciences ; Plant Systematics/Taxonomy/Biogeography ; Population ; Population genetics ; Populations ; Research Article ; Savannahs ; Seeds</subject><ispartof>Genetic resources and crop evolution, 2022-03, Vol.69 (3), p.1121-1135</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-70e3d685a5f4c1c28f314e88f8fac1617fcdc41fec441b373d1b2f161a76b5433</citedby><cites>FETCH-LOGICAL-c319t-70e3d685a5f4c1c28f314e88f8fac1617fcdc41fec441b373d1b2f161a76b5433</cites><orcidid>0000-0001-8210-2673</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10722-021-01289-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10722-021-01289-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>de Sousa, Samara Raquel</creatorcontrib><creatorcontrib>Costa, Marcones Ferreira</creatorcontrib><creatorcontrib>Filho, Carlos Humberto Aires Matos</creatorcontrib><creatorcontrib>Vasconcelos, Lúcio Flavo Lopes</creatorcontrib><creatorcontrib>de Araújo, Ademir Sérgio Ferreira</creatorcontrib><creatorcontrib>Castro, Antonio Alberto Jorge Farias</creatorcontrib><creatorcontrib>de Farias, Ruth Raquel Soares</creatorcontrib><creatorcontrib>Ferreira-Gomes, Regina Lucia</creatorcontrib><creatorcontrib>de Almeida Lopes, Ângela Celis</creatorcontrib><title>Assessment of the phenotypic diversity in natural populations of Annona coriacea Mart.: implications for breeding</title><title>Genetic resources and crop evolution</title><addtitle>Genet Resour Crop Evol</addtitle><description>Annona coriacea
Mart. is a native tree to the savannas of Brazil that produces fruits that have economic, ecological, and dietary potential for use by local communities and the food industry. The conservation and pre-breeding of natural populations of
A. coriacea
depend on genetic divergence studies and require knowledge about its characterization and the possible identification of superior genotypes. Therefore, the objective of this study was to quantify genetic divergence in a native population of
A. coriacea
genotypes based on morphological and physicochemical characteristics, estimate the efficiency of descriptors used in the discrimination of the genotypes, and indicate the essential descriptors for the characterization activities. A total of 34 quantitative descriptors were used to describe this diversity, and the data were subjected to multivariate analysis and clustering analysis. The relative importance of the descriptors was measured using the Singh method. The pulp and fruit weight and potassium concentration were the most important descriptors that contributed to the genetic divergence of the populations. The grouping methods (UPGMA and Tocher) allocated to the heterogeneous groups presented high genetic variability, enabling the selection of individuals for hybridization programs with F1 generation gains. The evaluated populations had high phenotypic variability in fruits and seeds. This study identified genotypes that could be introduced into the food and cosmetic industries. These native populations have the potential to be used in breeding programs.</description><subject>Agriculture</subject><subject>Annona coriacea</subject><subject>Biomedical and Life Sciences</subject><subject>Breeding</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Community</subject><subject>Divergence</subject><subject>Food</subject><subject>Food industry</subject><subject>Fruits</subject><subject>Genetic variability</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>Germplasm</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Grasslands</subject><subject>Hybridization</subject><subject>Life Sciences</subject><subject>Local communities</subject><subject>Morphology</subject><subject>Multivariate analysis</subject><subject>Natural populations</subject><subject>Physical characteristics</subject><subject>Plant Genetics and Genomics</subject><subject>Plant Physiology</subject><subject>Plant Sciences</subject><subject>Plant Systematics/Taxonomy/Biogeography</subject><subject>Population</subject><subject>Population genetics</subject><subject>Populations</subject><subject>Research Article</subject><subject>Savannahs</subject><subject>Seeds</subject><issn>0925-9864</issn><issn>1573-5109</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1LAzEQQIMoWKt_wFPA82om2Y-st1L8gooXPYdsNmlT2mSbZIX217t1C948zWHem4GH0C2QeyCkeohAKkozQiEjQHmdHc7QBIqKZQWQ-hxNSE2LrOZlfomuYlwTQuqq5BO0m8WoY9xql7A3OK007lba-bTvrMKt_dYh2rTH1mEnUx_kBne-6zcyWe_iUZk5553EygcrlZb4XYZ0_4jttttYdcKMD7gJWrfWLa_RhZGbqG9Oc4q-np8-56_Z4uPlbT5bZIpBnbKKaNaWvJCFyRUoyg2DXHNuuJEKSqiMalUORqs8h4ZVrIWGmmEhq7Ipcsam6G682wW_63VMYu374IaXgpaUU6BA8oGiI6WCjzFoI7pgtzLsBRBxTCvGtGJIK37TisMgsVGKA-yWOvyd_sf6AaVQfqY</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>de Sousa, Samara Raquel</creator><creator>Costa, Marcones Ferreira</creator><creator>Filho, Carlos Humberto Aires Matos</creator><creator>Vasconcelos, Lúcio Flavo Lopes</creator><creator>de Araújo, Ademir Sérgio Ferreira</creator><creator>Castro, Antonio Alberto Jorge Farias</creator><creator>de Farias, Ruth Raquel Soares</creator><creator>Ferreira-Gomes, Regina Lucia</creator><creator>de Almeida Lopes, Ângela Celis</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0001-8210-2673</orcidid></search><sort><creationdate>20220301</creationdate><title>Assessment of the phenotypic diversity in natural populations of Annona coriacea Mart.: implications for breeding</title><author>de Sousa, Samara Raquel ; Costa, Marcones Ferreira ; Filho, Carlos Humberto Aires Matos ; Vasconcelos, Lúcio Flavo Lopes ; de Araújo, Ademir Sérgio Ferreira ; Castro, Antonio Alberto Jorge Farias ; de Farias, Ruth Raquel Soares ; Ferreira-Gomes, Regina Lucia ; de Almeida Lopes, Ângela Celis</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-70e3d685a5f4c1c28f314e88f8fac1617fcdc41fec441b373d1b2f161a76b5433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agriculture</topic><topic>Annona coriacea</topic><topic>Biomedical and Life Sciences</topic><topic>Breeding</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Community</topic><topic>Divergence</topic><topic>Food</topic><topic>Food industry</topic><topic>Fruits</topic><topic>Genetic variability</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>Germplasm</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Grasslands</topic><topic>Hybridization</topic><topic>Life Sciences</topic><topic>Local communities</topic><topic>Morphology</topic><topic>Multivariate analysis</topic><topic>Natural populations</topic><topic>Physical characteristics</topic><topic>Plant Genetics and Genomics</topic><topic>Plant Physiology</topic><topic>Plant Sciences</topic><topic>Plant Systematics/Taxonomy/Biogeography</topic><topic>Population</topic><topic>Population genetics</topic><topic>Populations</topic><topic>Research Article</topic><topic>Savannahs</topic><topic>Seeds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Sousa, Samara Raquel</creatorcontrib><creatorcontrib>Costa, Marcones Ferreira</creatorcontrib><creatorcontrib>Filho, Carlos Humberto Aires Matos</creatorcontrib><creatorcontrib>Vasconcelos, Lúcio Flavo Lopes</creatorcontrib><creatorcontrib>de Araújo, Ademir Sérgio Ferreira</creatorcontrib><creatorcontrib>Castro, Antonio Alberto Jorge Farias</creatorcontrib><creatorcontrib>de Farias, Ruth Raquel Soares</creatorcontrib><creatorcontrib>Ferreira-Gomes, Regina Lucia</creatorcontrib><creatorcontrib>de Almeida Lopes, Ângela Celis</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Genetic resources and crop evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Sousa, Samara Raquel</au><au>Costa, Marcones Ferreira</au><au>Filho, Carlos Humberto Aires Matos</au><au>Vasconcelos, Lúcio Flavo Lopes</au><au>de Araújo, Ademir Sérgio Ferreira</au><au>Castro, Antonio Alberto Jorge Farias</au><au>de Farias, Ruth Raquel Soares</au><au>Ferreira-Gomes, Regina Lucia</au><au>de Almeida Lopes, Ângela Celis</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of the phenotypic diversity in natural populations of Annona coriacea Mart.: implications for breeding</atitle><jtitle>Genetic resources and crop evolution</jtitle><stitle>Genet Resour Crop Evol</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>69</volume><issue>3</issue><spage>1121</spage><epage>1135</epage><pages>1121-1135</pages><issn>0925-9864</issn><eissn>1573-5109</eissn><abstract>Annona coriacea
Mart. is a native tree to the savannas of Brazil that produces fruits that have economic, ecological, and dietary potential for use by local communities and the food industry. The conservation and pre-breeding of natural populations of
A. coriacea
depend on genetic divergence studies and require knowledge about its characterization and the possible identification of superior genotypes. Therefore, the objective of this study was to quantify genetic divergence in a native population of
A. coriacea
genotypes based on morphological and physicochemical characteristics, estimate the efficiency of descriptors used in the discrimination of the genotypes, and indicate the essential descriptors for the characterization activities. A total of 34 quantitative descriptors were used to describe this diversity, and the data were subjected to multivariate analysis and clustering analysis. The relative importance of the descriptors was measured using the Singh method. The pulp and fruit weight and potassium concentration were the most important descriptors that contributed to the genetic divergence of the populations. The grouping methods (UPGMA and Tocher) allocated to the heterogeneous groups presented high genetic variability, enabling the selection of individuals for hybridization programs with F1 generation gains. The evaluated populations had high phenotypic variability in fruits and seeds. This study identified genotypes that could be introduced into the food and cosmetic industries. These native populations have the potential to be used in breeding programs.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10722-021-01289-z</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-8210-2673</orcidid></addata></record> |
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subjects | Agriculture Annona coriacea Biomedical and Life Sciences Breeding Cluster analysis Clustering Community Divergence Food Food industry Fruits Genetic variability Genotype & phenotype Genotypes Germplasm Global positioning systems GPS Grasslands Hybridization Life Sciences Local communities Morphology Multivariate analysis Natural populations Physical characteristics Plant Genetics and Genomics Plant Physiology Plant Sciences Plant Systematics/Taxonomy/Biogeography Population Population genetics Populations Research Article Savannahs Seeds |
title | Assessment of the phenotypic diversity in natural populations of Annona coriacea Mart.: implications for breeding |
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