Fuzzy system for assessing bovine fertility according to semen characteristics

Maziero, Luana Possari; Chacur, Marcelo George Mungai; Cremasco, Camila Pires; Putti, Fernando Ferrari; Filho, Luís Roberto Almeida Gabriel

doi:10.1016/j.livsci.2022.104821

Cited by 9 publications

(1 citation statement)

References 31 publications

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“…In the same population, the temporary unfit and culling groups presented semen defects ranging from 8.54% to 39.03%. The identification of suitable bulls for reproduction must consider multiple andrological examinations, combining reproductive efficiency and seminal quality [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

Genetic parameters for various semen production and quality traits and indicators of male and female reproductive performance in Nellore cattle

et al. 2023

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Background Given the economic relevance of fertility and reproductive traits for the beef cattle industry, investigating their genetic background and developing effective breeding strategies are paramount. Considering their late and sex-dependent phenotypic expression, genomic information can contribute to speed up the rates of genetic progress per year. In this context, the main objectives of this study were to estimate variance components and genetic parameters, including heritability and genetic correlations, for fertility, female precocity, and semen production and quality (andrological attributes) traits in Nellore cattle incorporating genomic information. Results The heritability estimates of semen quality traits were low-to-moderate, while moderate-to-high estimates were observed for semen morphological traits. The heritability of semen defects ranged from low (0.04 for minor semen defects) to moderate (0.30 for total semen defects). For seminal aspect (SMN_ASPC) and bull reproductive fitness (BULL_FIT), low (0.19) and high (0.69) heritabilities were observed, respectively. The heritability estimates for female reproductive traits ranged from 0.16 to 0.39 for rebreeding of precocious females (REBA) and probability of pregnancy at 14 months (PP14), respectively. Semen quality traits were highly genetically correlated among themselves. Moderate-to-high genetic correlations were observed between the ability to remain productive in the herd until four years of age (stayability; STAY) and the other reproductive traits, indicating that selection for female reproductive performance will indirectly contribute to increasing fertility rates. High genetic correlations between BULL_FIT and female reproductive traits related to precocity (REBA and PP14) and STAY were observed. The genetic correlations between semen quality and spermatic morphology with female reproductive traits ranged from -0.22 (REBA and scrotal circumference) to 0.48 (REBA and sperm vigor). In addition, the genetic correlations between REBA with semen quality traits ranged from -0.23 to 0.48, and with the spermatic morphology traits it ranged from -0.22 to 0.19. Conclusions All male and female fertility and reproduction traits evaluated are heritable and can be improved through direct genetic or genomic selection. Selection for better sperm quality will positively influence the fertility and precocity of Nellore females. The findings of this study will serve as background information for designing breeding programs for genetically improving semen production and quality and reproductive performance in Nellore cattle.

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Section: Discussionmentioning

confidence: 99%

Genetic parameters for various semen production and quality traits and indicators of male and female reproductive performance in Nellore cattle

et al. 2023

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Statistical and fuzzy modeling for accurate prediction of feed intake and surface temperature of laying hens subjected to light challenges

Bahuti

Yanagi

Lima

et al. 2023

Computers and Electronics in Agriculture

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FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT

et al. 2022

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The low quality of the water currently used for irrigation purposes harms the quality of the products and can lead to a reduction in production. Thus, the objective of this work was to verify the effect of saline water in irrigation water, on biometric variables of pumpkin crop using a system based on fuzzy rules. The agronomic experimental part of this work was carried out in a greenhouse. The experimental design was in randomized blocks, with 5 doses of salinity (0, 1.25, 2.5, 3.75, and 5 dS m -1 ) and with 5 repetitions. The salinity doses and evaluations carried out throughout the cycle (days after transplanting) were defined as input variables in the mathematical model. For the output variables, the collected biometric responses were defined: number of leaves, number of flowers, leaf fresh mass, leaf dry mass, stem fresh mass, stem length, root fresh mass, and root length. After evaluation, the mathematical model was developed and its validation was carried out using statistical methods and Receiver Operating Characteristic Curves (ROC). It was observed that salinity affects the bush pumpkin crop with a reduction in the evaluated parameters. The mathematical model proved to be efficient for this evaluation.

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Fuzzy system for assessing bovine fertility according to semen characteristics

Cited by 9 publications

References 31 publications

Genetic parameters for various semen production and quality traits and indicators of male and female reproductive performance in Nellore cattle

Genetic parameters for various semen production and quality traits and indicators of male and female reproductive performance in Nellore cattle

Statistical and fuzzy modeling for accurate prediction of feed intake and surface temperature of laying hens subjected to light challenges

FUZZY MODELING OF SALINITY EFFECTS ON PUMPKIN (Cucurbita pepo) DEVELOPMENT

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