Kilis Keçilerinin Yetiştirici Koşullarındaki Laktasyon Süt Verimi ve Süt Kalite Özellikleri Üzerine Bir Araştırma

Daşkıran, İrfan; Yılmaz, Ayhan; GÜNBEY, Veysel Serkan

doi:10.33462/jotaf.1059728

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…The findings suggest that the live weights of Kilis goats during the postpartum and mating periods were within the range of 36.0 kg to 58.0 kg previously reported for various goat genotypes aged 2-5 years in different regions (Erduran, 2017;Ünalan and Ceyhan, 2017;Daşkıran and Yılmaz, 2018;Özdemir and Keskin, 2018). This situation can be explained by the variability of goats depending on their genetic capacity, social rank, area conditions, feeding, care, yield direction and grazing capacity of the pasture (Ocak, 2016;Castillo-Zuñiga et al, 2022;Erduran, 2023a The growth and development potential of goats can last up to 5 ages.…”

Section: Resultssupporting

confidence: 82%

“…However, milk and fertility yields are not at the desired level in the pasturebased breeding system (Çelik and Olfaz, 2015;Atay and Gokdal, 2016;Erduran, 2021). Kilis goat is an indigenous goat breed adapted to warm climatic conditions that is known for its fertility and milk yield in the southeast of Türkiye, generally in Kilis, Gaziantep, Hatay, and Şanlıurfa provinces (Daşkıran and Yılmaz, 2018;Özdemir and Keskin, 2018). Interest in dairy goat breeding is increasing day by day in parallel with the increase in demand for processing goat milk and dairy products in the Central Anatolia Region (Erduran, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Adaptation of Reproductive and Growth Traits of Primiparous Kilis Goats to High-Altitude Mountain Areas

ERDURAN

2023

ÇOMÜ Ziraat Fakültesi Dergisi

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Kilis goat is an important local gene source in terms of fertility and milk yield and its original breeding area is Kilis, Adana, Gaziantep and Hatay provinces in Türkiye. This study was carried out to determine the reproductive and growth characteristics of primiparous Kilis goats and their adaptation to high-altitude mountainous areas (altitude 1550 m). A total of 120 Kilis goats from four different farms in Konya province were used in the study in 2019. Among the reproductive traits of Kilis goats, birth rate, litter size at birth, litter size at weaning, twinning rate and survival rate were found to be 92.5%, 1.25, 1.11, 25.1% and 88.2%, respectively, and the difference between the flocks were not statistically significant (P>0.05). Most of the births occurred between 06:00 and 09:00 during the day (P

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Section: Resultssupporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Adaptation of Reproductive and Growth Traits of Primiparous Kilis Goats to High-Altitude Mountain Areas

ERDURAN

2023

ÇOMÜ Ziraat Fakültesi Dergisi

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“…This study examined the impacts of several mycorrhiza species on organic carrot farming and revealed that antioxidant activity was positively impacted. (Kiracı et al 2014). In one study, it was determined that the biological control agents used in tomatoes did not have a signi cant effect on total phenolic matter or antioxidant activity, and there were changes depending on the application (Boyno et al 2022).…”

Section: Effects Branched Broomrape Contamination and Biological Cont...mentioning

confidence: 99%

Physiological Effects of Arbuscular Mycorrhizal Fungi (AMF), Plant Growth-Promoting Rhizobacteria (PGPRs), and Trichoderma harzianum on Tomato (Solanum lycopersicum L.) Infected with Branched Broomrape [Phelipanche ramosa (L.) Pomel]

FİDAN,

TEPE

2024

Preprint

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Tomato (Solanum lycopersicum L.), one of the world's most produced and consumed vegetables, belongs to the Solanaceae family. Branched broomrape [Phelipanche ramosa (L.) Pomel; Syn: Orobanche ramosa L.] parasitizes many cultivated plants, especially tomatoes. The parasitic weeds, for which there is no effective control method, cause serious yield and quality losses in their host crops. In this study, two different mycorrhiza (AMF) species, Funneliformis mosseae, and a commercial product, Endo Roots Soluble (ERS), along with Trichoderma harzianum T22, two different plant growth-promoting rhizobacteria (PGPR) isolates (Pseudomonas caspiana V30G2 and Bacillus velezensis V40K2), were applied to tomatoes. Additionally, a commercial product, Plant Success Great White Premium Mycorrhiza, and their combinations were used to determine the changes occurring in both the plants and the broomrape. This study investigated the number of tubercles, the levels of several oxidative stress enzymes (CAT, catalase, SOD, superoxide dismutase, and APX, ascorbate peroxidase), the level of lipid peroxidation (MDA, malondialdehyde), and the total phenolic and antioxidant contents of tomato plants infected and not infected with broomrape. Compared to the control group, the treatments were found to prevent tubercule formation at rates ranging from 60 to 72.7%. Broomrape infection caused oxidative stress in the tomatoes; the CAT and MDA contents in the broomrape-contaminated plants were greater than those in the noncontaminated plants. The results revealed that some microorganisms and biological preparations applied to tomatoes responded differently to broomrape stress through enzymatic and nonenzymatic antioxidant activities.

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Enhancing Milk Quality Detection with Machine Learning: A Comparative Analysis of KNN and Distance-Weighted KNN Algorithms

Samad,

TAZE,

Kürsad UÇAR

2024

International Journal of Innovative Science and Research Techno

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Ensuring the quality of milk is paramount for consumer health and industry standards. This study introduces a comparative analysis of two machine learning approaches, the k-Nearest Neighbors (KNN) algorithm and its variant, the Distance-Weighted KNN (DW-KNN), for the detection of milk quality. While the traditional KNN algorithm has been widely applied across various sectors for its simplicity and effectiveness, our research proposes an enhanced methodology through the implementation of the DW-KNN algorithm, which incorporates distance weighting to improve prediction accuracy. Through the analysis of a comprehensive dataset encompassing multiple milk quality indicators, we demonstrate that the DW-KNN algorithm significantly outperforms the standard KNN approach, achieving an exceptional accuracy of 99.53% compared to 98.58% by KNN. This substantial improvement highlights the potential of distance weighting in enhancing classification performance, particularly in applications requiring high precision in quality assessment. Our findings advocate for the adoption of the DW-KNN algorithm in the dairy industry and related fields, offering a robust tool for ensuring product quality and safety.

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Kilis Keçilerinin Yetiştirici Koşullarındaki Laktasyon Süt Verimi ve Süt Kalite Özellikleri Üzerine Bir Araştırma

Cited by 4 publications

References 19 publications

Adaptation of Reproductive and Growth Traits of Primiparous Kilis Goats to High-Altitude Mountain Areas

Adaptation of Reproductive and Growth Traits of Primiparous Kilis Goats to High-Altitude Mountain Areas

Physiological Effects of Arbuscular Mycorrhizal Fungi (AMF), Plant Growth-Promoting Rhizobacteria (PGPRs), and Trichoderma harzianum on Tomato (Solanum lycopersicum L.) Infected with Branched Broomrape [Phelipanche ramosa (L.) Pomel]

Enhancing Milk Quality Detection with Machine Learning: A Comparative Analysis of KNN and Distance-Weighted KNN Algorithms

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