Evidence map›Paper›PMID 42243389›Full record

ArticleTropical animal health and production2026

Prolificacy-survival trade-off in Morada Nova sheep under Brazilian semiarid conditions.

Robson Mateus Freitas Silveira, Aysllan Harlley Rodrigues Pereira, Mirela Balistrieri, Paula Renata Cortat, Kleibe de Moraes Silva, Eula Regina Carrara, Concepta Mcmanus, Aline Vieira Landim

Abstract read
In one paragraph

Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Robson Mateus Freitas SilveiraDepartment of Animal Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo (USP), Piracicaba, São Paulo, 13418900, Brazil. robsonsilveira@usp.br.ORCID http://orcid.org/0000-0003-2285-9695
Aysllan Harlley Rodrigues PereiraDepartment of Animal Science, State University of Acaraú Valley (UVA), Sobral, Ceará, 62040-370, Brazil.
Mirela BalistrieriDepartment of Animal Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo (USP), Piracicaba, São Paulo, 13418900, Brazil.
Paula Renata CortatDepartment of Animal Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo (USP), Piracicaba, São Paulo, 13418900, Brazil.
Kleibe de Moraes SilvaEmbrapa Caprinos e Ovinos, Sobral, Ceará, Brazil.
Eula Regina CarraraAnimal Science Institute, Beef Cattle Research Center, Sertãozinho, São Paulo, Brazil.
Concepta McmanusCenter for Nuclear Energy in Agriculture, University of São Paulo (USP), São Paulo, Piracicaba, 13.416-000, Brazil.
Aline Vieira LandimDepartment of Animal Science, State University of Acaraú Valley (UVA), Sobral, Ceará, 62040-370, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used long-term data from 13 Morada Nova sheep flocks monitored between 1999 and 2015 in the Brazilian semi-arid region to evaluate how prolificacy and seasonality shape maternal reproductive output and progeny survival. For each ewe lambing event, we quantified total progeny weight at birth (PWB) and weaning (PWW), as well as survival rates at birth (PSRB) and weaning (PSRW), and classified births as occurring in the dry or rainy season. Ewes with single births showed lower PWB and PWW, but higher PSRB and PSRW, than ewes with multiple births (p < 0.0001). When the number of lambs at birth was included as a covariate, each additional lamb was associated with an increase of 1.74 kg in PWB and 3.51 kg in PWW (p < 0.0001), but also with an absolute reduction of 6% points in PSRB and 17% points in PSRW, findings that are consistent with a trade-off between litter size and offspring survival. Ewes with multiple births were more productive in terms of total kilograms of lamb weaned, despite lower survival rates per offspring. No significant association was found between type of birth and progeny across seasons (χ² test: p > 0.05). However, the number of lambs weaned differed slightly between seasons (p = 0.014), with marginally higher values in the dry period (1.65) than in the rainy period (1.60), although the magnitude of this difference was small. In Morada Nova ewes, multiple births increased total weaned lamb biomass but were associated with reduced progeny survival, indicating a trade-off between prolificacy and lamb viability. Intermediate prolificacy provided a more balanced compromise between productivity and survival under semiarid conditions.

Indexed as

ReproductionSheep, DomesticAnimalsBirth WeightBrazilFemaleLitter SizeSeasonsSheepWeaningLife-history trade-offLocal breedsProductive efficiencyReproductive efficiencySemiarid environments

Identifiers

PMID42243389
PMCPMC13236766

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.