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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
16/06/2022 |
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Actualizado : |
02/12/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
JÁUREGUI, J.M.; OJEDA, J.J.; BERONE, G.D.; LATTANZI, F.; BAUDRACCO, J.; FARIÑA, S.; MOOT, D.J. |
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Afiliación : |
JOSÉ MARTÍN JÁUREGUI, Facultad de Ciencias Agrarias, Universidad Nacional del Litoral, Kreder 2807, Esperanza, Santa Fe, 3080 Argentina; Gentos S.A., Dardo Rocha 3197, Martínez, Buenos Aires.; JONATHAN J. OJEDA, Regrow Ag, Brisbane, Queensland, Australia.; GERMÁN DARÍO BERONE, EEA Balcarce, Instituto Nacional de Tecnología Agropecuaria, Ruta 226, Km 73,5, Balcarce, Buenos Aires, 7620 Argentina Facultad de Ciencias Agrarias, Universidad Nacional de Mar del Plata, Ruta 226, km 73,5, Balcarce, Buenos Aires,Ar.; FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JAVIER BAUDRACCO, Facultad de Ciencias Agrarias, Universidad Nacional del Litoral, Kreder 2807, Esperanza, Santa Fe, 3080 Argentina.; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); DERRICK J. MOOT, Faculty of Agriculture and Life Sciences, Field Research Centre, PO Box 7647, Lincoln University, Canterbury, New Zealand. |
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Título : |
Yield gaps of lucerne (Medicago sativa L.) in livestock systems of Argentina. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Annals of Applied Biology, July 2022, Volume 181, Issue 1, pages 22-32. doi: https://doi.org/10.1111/aab.12745 |
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ISSN : |
0003-4746 |
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DOI : |
10.1111/aab.12745 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 24 March 2021/ Revised: 8 October 2021/ Accepted: 9 October 2021. -- Corresponding author: Jáuregui, J.M.; Facultad de Ciencias Agrarias, Universidad Nacional del Litoral, Kreder 2807, Santa Fe, Esperanza, Argentina; email:josemartinjauregui@gmail.com -- Funding:
The authors thank Dr Gonzalo Berhongaray for his insightful comments that helped to improve the manuscript and an anonymous referee who provided valuable feedback. The authors also wish to specially thank everyone involved in the data collection of the NLCEN (Valeria Arolfo, Ariel Odorizzi, Daniel Basigalup, Silvia Olivo, Luis Romero, Alejo Re, Cecilia Sardiña, Laura Fontana, Néstor Romero, Mario Funes, Mónica Cornacchione, Elena Di Nucci, Juan José Gallego, Fernanda Neira Zilli, Dante Pueyo and Lourdes Mijoevich). FAL was financially supported by PROCISUR and FONTAGRO through the project “Uso de leguminosas en sistemas ganaderos sudamericanos”. GDB was financially supported by INTA (project “Incremento sostenible de la producción y utilización de pasturas y forrajes conservados”) and FCA-UNMDP (project “Uso responsable del nitrógeno en ganadería: fertilización y leguminosas”). |
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Contenido : |
Abstract:
Argentina grows the second-largest area of lucerne in the world. Despite its importance, a yield gap exists between potential and measured yields, but factors contributing to it are still unclear. This study aimed to identify management factors and research needs to reduce the lucerne yield gap to improve the livestock systems in this region. We used meteorological data coupled with lucerne crop modelling and measured yields from the National Lucerne Cultivar Evaluation Network (NLCEN) to quantify the lucerne yield gap in nine sites located within the Argentinian Pampas (between parallels 30?45°S and meridians 58?65°W) and three sites outside the Pampas. Specifically, we used the model developed by McCall & Bishop-Hurley (2003), adapted and calibrated for lucerne in Argentina by Berone et al. (2017) to estimate the potential yield (PY) for 12 locations (three irrigated and nine rainfed), and compared those results with measured yields from the NLCEN to calculate yield gaps. We found the average available photosynthetic active radiation (PAR) and temperatures were sufficient to achieve 21.5 ±?3.7 t dry matter (DM) ha?1 yr?1 under rainfed conditions (environments with mean annual rainfall from 400 to 1,200?mm). However, the average measured yield from the NLCEN was 16.8 ±?2.4 t DM ha?1 yr?1 (a 22% gap). Potential yields ranged between 10 and 25?t DM ha?1 yr?1 under rainfed conditions and between 25 and 39?t DM ha?1 yr?1 for irrigated crops. As latitude increased rainfed locations had lower yields, while irrigated locations had higher yields. Adding irrigation was predicted to increase yields to 35.4 ±?2.0 t DM ha?1 yr?1 (a 53% gap) in rainfed sites. For irrigated locations, the gap was smaller (27.3 ±?3.5 vs 32.4 ±?2.2 t DM ha?1 yr?1 for measured vs potential yield, respectively), and most likely linked to nutrient deficits. Also, current grazing management was estimated to achieve approximately 50% less grazing efficiency than optimal grazing management. Our results demonstrated that the livestock industry can potentially increase animal production under current environmental conditions. The four main adjustments to achieve this are increased use of irrigation, increased use of fertilisers, earlier commencement of grazing in spring and increased stocking rates. The costs of irrigation, fertilisers and grazing management are envisaged to be small compared with potential increases in incomes and thus profitability available to beef and dairy farmers using lucerne as a major feed source in Argentina. MenosAbstract:
Argentina grows the second-largest area of lucerne in the world. Despite its importance, a yield gap exists between potential and measured yields, but factors contributing to it are still unclear. This study aimed to identify management factors and research needs to reduce the lucerne yield gap to improve the livestock systems in this region. We used meteorological data coupled with lucerne crop modelling and measured yields from the National Lucerne Cultivar Evaluation Network (NLCEN) to quantify the lucerne yield gap in nine sites located within the Argentinian Pampas (between parallels 30?45°S and meridians 58?65°W) and three sites outside the Pampas. Specifically, we used the model developed by McCall & Bishop-Hurley (2003), adapted and calibrated for lucerne in Argentina by Berone et al. (2017) to estimate the potential yield (PY) for 12 locations (three irrigated and nine rainfed), and compared those results with measured yields from the NLCEN to calculate yield gaps. We found the average available photosynthetic active radiation (PAR) and temperatures were sufficient to achieve 21.5 ±?3.7 t dry matter (DM) ha?1 yr?1 under rainfed conditions (environments with mean annual rainfall from 400 to 1,200?mm). However, the average measured yield from the NLCEN was 16.8 ±?2.4 t DM ha?1 yr?1 (a 22% gap). Potential yields ranged between 10 and 25?t DM ha?1 yr?1 under rainfed conditions and between 25 and 39?t DM ha?1 yr?1 for irrigated crops. As latitude increased rain... Presentar Todo |
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Palabras claves : |
ALFALFA; CROP MANAGEMENT; GRAZING MANAGEMENT; MEDICAGO SATIVA L. |
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Thesagro : |
ARGENTINA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 04602naa a2200289 a 4500
001 1063318
005 2022-12-02
008 2022 bl uuuu u00u1 u #d
022 $a0003-4746
024 7 $a10.1111/aab.12745$2DOI
100 1 $aJÁUREGUI, J.M.
245 $aYield gaps of lucerne (Medicago sativa L.) in livestock systems of Argentina.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 24 March 2021/ Revised: 8 October 2021/ Accepted: 9 October 2021. -- Corresponding author: Jáuregui, J.M.; Facultad de Ciencias Agrarias, Universidad Nacional del Litoral, Kreder 2807, Santa Fe, Esperanza, Argentina; email:josemartinjauregui@gmail.com -- Funding: The authors thank Dr Gonzalo Berhongaray for his insightful comments that helped to improve the manuscript and an anonymous referee who provided valuable feedback. The authors also wish to specially thank everyone involved in the data collection of the NLCEN (Valeria Arolfo, Ariel Odorizzi, Daniel Basigalup, Silvia Olivo, Luis Romero, Alejo Re, Cecilia Sardiña, Laura Fontana, Néstor Romero, Mario Funes, Mónica Cornacchione, Elena Di Nucci, Juan José Gallego, Fernanda Neira Zilli, Dante Pueyo and Lourdes Mijoevich). FAL was financially supported by PROCISUR and FONTAGRO through the project “Uso de leguminosas en sistemas ganaderos sudamericanos”. GDB was financially supported by INTA (project “Incremento sostenible de la producción y utilización de pasturas y forrajes conservados”) and FCA-UNMDP (project “Uso responsable del nitrógeno en ganadería: fertilización y leguminosas”).
520 $aAbstract: Argentina grows the second-largest area of lucerne in the world. Despite its importance, a yield gap exists between potential and measured yields, but factors contributing to it are still unclear. This study aimed to identify management factors and research needs to reduce the lucerne yield gap to improve the livestock systems in this region. We used meteorological data coupled with lucerne crop modelling and measured yields from the National Lucerne Cultivar Evaluation Network (NLCEN) to quantify the lucerne yield gap in nine sites located within the Argentinian Pampas (between parallels 30?45°S and meridians 58?65°W) and three sites outside the Pampas. Specifically, we used the model developed by McCall & Bishop-Hurley (2003), adapted and calibrated for lucerne in Argentina by Berone et al. (2017) to estimate the potential yield (PY) for 12 locations (three irrigated and nine rainfed), and compared those results with measured yields from the NLCEN to calculate yield gaps. We found the average available photosynthetic active radiation (PAR) and temperatures were sufficient to achieve 21.5 ±?3.7 t dry matter (DM) ha?1 yr?1 under rainfed conditions (environments with mean annual rainfall from 400 to 1,200?mm). However, the average measured yield from the NLCEN was 16.8 ±?2.4 t DM ha?1 yr?1 (a 22% gap). Potential yields ranged between 10 and 25?t DM ha?1 yr?1 under rainfed conditions and between 25 and 39?t DM ha?1 yr?1 for irrigated crops. As latitude increased rainfed locations had lower yields, while irrigated locations had higher yields. Adding irrigation was predicted to increase yields to 35.4 ±?2.0 t DM ha?1 yr?1 (a 53% gap) in rainfed sites. For irrigated locations, the gap was smaller (27.3 ±?3.5 vs 32.4 ±?2.2 t DM ha?1 yr?1 for measured vs potential yield, respectively), and most likely linked to nutrient deficits. Also, current grazing management was estimated to achieve approximately 50% less grazing efficiency than optimal grazing management. Our results demonstrated that the livestock industry can potentially increase animal production under current environmental conditions. The four main adjustments to achieve this are increased use of irrigation, increased use of fertilisers, earlier commencement of grazing in spring and increased stocking rates. The costs of irrigation, fertilisers and grazing management are envisaged to be small compared with potential increases in incomes and thus profitability available to beef and dairy farmers using lucerne as a major feed source in Argentina.
650 $aARGENTINA
653 $aALFALFA
653 $aCROP MANAGEMENT
653 $aGRAZING MANAGEMENT
653 $aMEDICAGO SATIVA L
700 1 $aOJEDA, J.J.
700 1 $aBERONE, G.D.
700 1 $aLATTANZI, F.
700 1 $aBAUDRACCO, J.
700 1 $aFARIÑA, S.
700 1 $aMOOT, D.J.
773 $tAnnals of Applied Biology, July 2022, Volume 181, Issue 1, pages 22-32. doi: https://doi.org/10.1111/aab.12745
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INIA La Estanzuela (LE) |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
19/04/2023 |
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Actualizado : |
19/04/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
CECCOBELLI, S.; LANDI, V.; SENCZUK , G.; MASTRANGELO , S.; SARDINA , M.T.; BEN-JEMAA, S.; PERSICHILLI , C.; KARSLI , T.; BÂLTEANU, V.-A.; RASCHIA , M.A.; POLI, M.A.; CIAPPESONI, G.; MUCHADEYI , F.C.; DZOMBA, E.F.; KUNENE , N.W.; LÜHKEN, G.; DENISKOVA, T.E.; DOTSEV, A.V.; ZINOVIEVA , N.A.; ZSOLNAI , A.; ANTON , I.; KUSZA , S.; CAROLINO , N.; SANTOS-SILVA, F.; KAWECKA, A.; SWIATEK , M.; NIZNIKOWSKI , R.; SPEHAR , M.; ANAYA , G.; GRANERO , A.; PERLOIRO , T.; CARDOSO , P.; GRANDE , S.; LÓPEZ DE LOS SANTOS , B.; DANCHIN-BURGE , C.; PASQUINI , M.; MARTÍNEZ MARTÍNEZ , A.; DELGADO BERMEJO , J.V.; LASAGNA , E.; CIANI , E.; SARTI , F.M.; PILLA , F. |
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Afiliación : |
SIMONE CECCOBELLI, Department of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131, Ancona, Italy; VINCENZO LANDI, Department of Veterinary Medicine, University of Bari "Aldo Moro", 70010, Valenzano, Italy; GABRIELE SENCZUK, Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100, Campobasso, Italy; SALVATORE MASTRANGELO, Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128, Palermo, Italy; MARIA TERESA SARDINA, Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128, Palermo, Italy; SLIM BEN-JEMAA, Laboratoire des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, 2049, Ariana, Tunisia; CHRISTIAN PERSICHILLI, Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100, Campobasso, Italy; TAKI KARSLI, Department of Animal Science, Faculty of Agriculture, Eskisehir Osmangazi University, 26040, Eskisehir, Turkey; VALENTIN-ADRIAN BÂLTEANU, Laboratory of Genomics, Biodiversity, Animal Breeding and Molecular Pathology, Institute of Life Sciences, University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca, 400372, Cluj-Napoca, Romania; MARÍA AGUSTINA RASCHIA, Instituto de Genética "Ewald A. Favret", Instituto Nacional de Tecnología Agropecuaria, CICVyA-CNIA, B1686, Hurlingham, Buenos Aires, Argentina; MARIO ANDRÉS POLI, Instituto de Genética "Ewald A. Favret", Instituto Nacional de Tecnología Agropecuaria, CICVyA-CNIA, B1686, Hurlingham, Buenos Aires, Argentina; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FARAI CATHERINE MUCHADEYI, Agricultural Research Council - Biotechnology Platform, Onderstepoort, 0110, Pretoria, South Africa; EDGAR FARAI DZOMBA, Discipline of Genetics, School of Life Sciences, University of KwaZulu-Natal, 3209, Scottsville, Pietermaritzburg, South Africa; NOKUTHULA WINFRED KUNENE, Department of Agriculture, University of Zululand, 3886, Kwadlangezwa, South Africa; GESINE LÜHKEN, Institute of Animal Breeding and Genetics, Justus Liebig University, 35390, Giessen, Germany; TATIANA EVGENIEVNA DENISKOVA, L.K. Ernst Federal Research Center for Animal Husbandry, 142132, Podolsk, Russian Federation; ARSEN VLADIMIROVICH DOTSEV, L.K. Ernst Federal Research Center for Animal Husbandry, 142132, Podolsk, Russian Federation; NATALIA ANATOLIEVNA ZINOVIEVA, L.K. Ernst Federal Research Center for Animal Husbandry, 142132, Podolsk, Russian Federation; ATTILA ZSOLNAI, Department of Animal Breeding, Institute of Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, 2053, Herceghalom, Hungary; ISTVÁN ANTON, Department of Animal Breeding, Institute of Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, 2053, Herceghalom, Hungary; SZILVIA KUSZA, Centre for Agricultural Genomics and Biotechnology, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032, Debrecen, Hungary; NUNO CAROLINO, Instituto Nacional de Investigação Agrária e Veterinária, 2005-048, Vale de Santarém, Portugal; FÁTIMA SANTOS-SILVA, Instituto Nacional de Investigação Agrária e Veterinária, 2005-048, Vale de Santarém, Portugal; ALDONA KAWECKA, Department of Sheep and Goat Breeding, National Research Institute of Animal Production, 32-083, Kraków, Poland; MARCIN SWIATEK, Department of Animal Breeding, Institute of Animal Sciences, Warsaw University of Life Sciences-SGGW, 02-786, Warsaw, Poland; ROMAN NIZNIKOWSKI, Department of Animal Breeding, Institute of Animal Sciences, Warsaw University of Life Sciences-SGGW, 02-786, Warsaw, Poland; MARIJA SPEHAR, Croatian Agency for Agriculture and Food, 10000, Zagreb, Croatia; GABRIEL ANAYA, MERAGEM Group, Department of Genetics, University of Córdoba, 14071, Córdoba, Spain; ANTONIO GRANERO, Asociación Nacional de Criadores de Ganado Merino (ACME), 28028, Madrid, Spain; TIAGO PERLOIRO, Associação Nacional de Criadores de Ovinos da Raça Merina (ANCORME), 7005-665, Évora, Portugal; PEDRO CARDOSO, Associação de Produtores Agropecuários (OVIBEIRA), 6000-244, Castelo Branco, Portugal; SILVERIO GRANDE, Associazione Nazionale della Pastorizia (ASSONAPA), 00187, Rome, Italy; BEATRIZ LÓPEZ DE LOS SANTOS, Departamento de Investigación y Desarrollo, EA GROUP SC, 06700, Villanueva de la Serena, Spain; CORALIE DANCHIN-BURGE, Institut de l'Elevage, 75595, Paris Cedex 12, France; MARINA PASQUINI, Department of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131, Ancona, Italy; AMPARO MARTÍNEZ MARTÍNEZ, Departamento de Genética, Universidad de Córdoba, 14071, Córdoba, Spain; JUAN VICENTE DELGADO BERMEJO, Departamento de Genética, Universidad de Córdoba, 14071, Córdoba, Spain; EMILIANO LASAGNA, Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy; ELENA CIANI, Department of Bioscience, Biotechnology and Biopharmaceutics, University of Bari "Aldo Moro", 70124, Bari, Italy; FRANCESCA MARIA SARTI, Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy; FABIO PILLA, Department of Agricultural, Environmental and Food Sciences, University of Molise, 86100, Campobasso, Italy. |
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Título : |
A comprehensive analysis of the genetic diversity and environmental adaptability in worldwide Merino and Merino-derived sheep breeds. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Genetics, Selection, Evolution : GSE, 2023, volume 55, issue 1, article 24. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00797-z |
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ISSN : |
1297-9686 |
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DOI : |
10.1186/s12711-023-00797-z |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 27 July 2022; Accepted 24 March 2023; Published 03 April 2023. -- Corresponding author: Simone Ceccobelli, email: s.ceccobelli@staff.univpm.it -- Document type: Article, Gold Open Access. -- FUNDING: This study was supported in part by the "Fondazione Cassa di Risparmio di Perugia" (Project "Promozione e valorizzazione delle razze ovine di derivazione Merinos", Agreement No. 2017.0470.013-Ricerca scientifica e tecnologica) and WOOLLY project approved by Apulia Regional government within the program "Contribution to innovative scientific research projects of high international standard" (art. 22 della legge regionale 30 novembre 2019, n. 52). The SNP-genotyping of the Groznensk and Salsk breeds was financially supported by the RMSHE, grant no. 075-15-2021-1037 (internal no. 15.BPK.21.0001). SNP-genotyping of Kyrgyz Mountain Merino was supported by RSF No. 21-6600007. -- Supplementary Information available. -- |
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Contenido : |
BACKGROUND: To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically for this study, while an additional 23 populations from the publicly available genotypes were retrieved. Three complementary statistical tests, Rsb (extended haplotype homozygosity between-populations), XP-EHH (cross-population extended haplotype homozygosity), and runs of homozygosity (ROH) islands were applied to identify genomic variants with potential impact on the adaptability of Merino genetic type in two contrasting climate zones. CONCLUSIONS: To the best of our knowledge, this is the first comprehensive dataset that includes most of the Merino and Merino-derived sheep breeds raised in different regions of the world. The results provide an in-depth picture of the genetic makeup of the current Merino and Merino-derived breeds, highlighting the possible selection pressures associated with the combined effect of anthropic and environmental factors. The study underlines the importance of Merino genetic types as invaluable resources of possible adaptive diversity in the context of the occurring climate changes. © 2023. The Author(s). |
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Palabras claves : |
Animals; Domestic sheep; Genetic Variation; Genotype; Sheep. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
https://gsejournal.biomedcentral.com/counter/pdf/10.1186/s12711-023-00797-z.pdf
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Marc : |
LEADER 04216naa a2200709 a 4500
001 1064044
005 2023-04-19
008 2023 bl uuuu u00u1 u #d
022 $a1297-9686
024 7 $a10.1186/s12711-023-00797-z$2DOI
100 1 $aCECCOBELLI, S.
245 $aA comprehensive analysis of the genetic diversity and environmental adaptability in worldwide Merino and Merino-derived sheep breeds.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 27 July 2022; Accepted 24 March 2023; Published 03 April 2023. -- Corresponding author: Simone Ceccobelli, email: s.ceccobelli@staff.univpm.it -- Document type: Article, Gold Open Access. -- FUNDING: This study was supported in part by the "Fondazione Cassa di Risparmio di Perugia" (Project "Promozione e valorizzazione delle razze ovine di derivazione Merinos", Agreement No. 2017.0470.013-Ricerca scientifica e tecnologica) and WOOLLY project approved by Apulia Regional government within the program "Contribution to innovative scientific research projects of high international standard" (art. 22 della legge regionale 30 novembre 2019, n. 52). The SNP-genotyping of the Groznensk and Salsk breeds was financially supported by the RMSHE, grant no. 075-15-2021-1037 (internal no. 15.BPK.21.0001). SNP-genotyping of Kyrgyz Mountain Merino was supported by RSF No. 21-6600007. -- Supplementary Information available. --
520 $aBACKGROUND: To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically for this study, while an additional 23 populations from the publicly available genotypes were retrieved. Three complementary statistical tests, Rsb (extended haplotype homozygosity between-populations), XP-EHH (cross-population extended haplotype homozygosity), and runs of homozygosity (ROH) islands were applied to identify genomic variants with potential impact on the adaptability of Merino genetic type in two contrasting climate zones. CONCLUSIONS: To the best of our knowledge, this is the first comprehensive dataset that includes most of the Merino and Merino-derived sheep breeds raised in different regions of the world. The results provide an in-depth picture of the genetic makeup of the current Merino and Merino-derived breeds, highlighting the possible selection pressures associated with the combined effect of anthropic and environmental factors. The study underlines the importance of Merino genetic types as invaluable resources of possible adaptive diversity in the context of the occurring climate changes. © 2023. The Author(s).
653 $aAnimals
653 $aDomestic sheep
653 $aGenetic Variation
653 $aGenotype
653 $aSheep
700 1 $aLANDI, V.
700 1 $aSENCZUK , G.
700 1 $aMASTRANGELO , S.
700 1 $aSARDINA , M.T.
700 1 $aBEN-JEMAA, S.
700 1 $aPERSICHILLI , C.
700 1 $aKARSLI , T.
700 1 $aBÂLTEANU, V.-A.
700 1 $aRASCHIA , M.A.
700 1 $aPOLI, M.A.
700 1 $aCIAPPESONI, G.
700 1 $aMUCHADEYI , F.C.
700 1 $aDZOMBA, E.F.
700 1 $aKUNENE , N.W.
700 1 $aLÜHKEN, G.
700 1 $aDENISKOVA, T.E.
700 1 $aDOTSEV, A.V.
700 1 $aZINOVIEVA , N.A.
700 1 $aZSOLNAI , A.
700 1 $aANTON , I.
700 1 $aKUSZA , S.
700 1 $aCAROLINO , N.
700 1 $aSANTOS-SILVA, F.
700 1 $aKAWECKA, A.
700 1 $aSWIATEK , M.
700 1 $aNIZNIKOWSKI , R.
700 1 $aSPEHAR , M.
700 1 $aANAYA , G.
700 1 $aGRANERO , A.
700 1 $aPERLOIRO , T.
700 1 $aCARDOSO , P.
700 1 $aGRANDE , S.
700 1 $aLÓPEZ DE LOS SANTOS , B.
700 1 $aDANCHIN-BURGE , C.
700 1 $aPASQUINI , M.
700 1 $aMARTÍNEZ MARTÍNEZ , A.
700 1 $aDELGADO BERMEJO , J.V.
700 1 $aLASAGNA , E.
700 1 $aCIANI , E.
700 1 $aSARTI , F.M.
700 1 $aPILLA , F.
773 $tGenetics, Selection, Evolution : GSE, 2023, volume 55, issue 1, article 24. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00797-z
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