Factors that affect heat production in lactating Jersey cows

Morris, D.L.; Brown–Brandl, T. M.; Miller, Phillip S.; Weiss, W.P.; White, Robin R.; Kononoff, P.J.

doi:10.3168/jds.2020-18976

Cited by 6 publications

(2 citation statements)

References 36 publications

(72 reference statements)

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“…Factors responsible for greater HE in both MJ/day and kJ/kg BW 0.75 for the High LD than for the Moderate LD may be numerically greater DM intake and milk energy yield for High LD, as supported by other reports (e.g., Koong et al 53 ; Morris et al 54 ; Yan et al 55 ), with most of the differences attributable to the Moderate GS treatment. In accordance with greater milk production with associated metabolism to synthesize nutrients and DM intake by does versus doelings, HE was higher for does 54 , 56 .…”

Section: Discussionsupporting

confidence: 68%

Interaction between gestational plane of nutrition and lactation diet composition on lactation performance of Alpine goats of different parities

Ribeiro,

Patra,

Puchala

et al. 2023

Sci Rep

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A study was conducted with 48 multiparous and 31 primiparous Alpine goats to determine the effects of different nutritional planes during gestation and lactation on feed intake, body weight, body condition score and mass index, blood constituent concentrations, and milk yield and composition. Two gestation supplement treatments (GS; Moderate versus High) were imposed for approximately 5.5 months and two lactation diets (LD; Moderate vs. High) within each GS were fed for 16 wk. The Moderate GS (14.2% crude protein; CP) was given at 1.125% body weight (BW; dry matter basis) and the High GS (16.2% CP) was consumed ad libitum, with alfalfa hay available free-choice to all animals. Moderate and High LD contained 16.0 and 16.9% CP and 34.7 and 30.4% neutral detergent fiber, respectively. Body weight (77.5 vs. 72.0 kg) and body condition score (BCS; 3.22 vs. 3.04) at 11 days before kidding were greater (P < 0.05) for High versus Moderate GS, but BW at kidding (62.6 and 64.9 kg; SEM = 1.32) and 3 days later (60.9 and 63.6 kg for Moderate and High GS, respectively; SEM = 1.32) was similar. Litter size (1.9 and 2.4; SEM = 0.59), kid birth weight (3.72 and 3.59 kg; SEM = 0.097), and litter weight (6.55 and 7.13 kg for Moderate and High GS, respectively; SEM = 0.316) were similar between GS diets. However, kid birth weight (3.44 and 3.87 kg; SEM = 0.096) and litter weight (6.23 and 7.46 kg; SEM = 0.364) were greater (P < 0.05) for multiparous versus primiparous goats. Dry matter intake during lactation was greater for Moderate than for High GS (P ≤ 0.051) in kg/day, % BW, and g/kg BW0.75. However, milk fat (3.81, 4.14, 3.85, and 3.77%; SEM = 0.132) and protein concentrations (2.49, 2.50, 2.47, and 2.49%; SEM = 0.047), and raw (2.22, 2.59, 2.39, and 2.45 kg; SEM = 0.173) and energy yields of milk (6.02, 7.42, 6.51, and 6.63 MJ/day for Moderate GS-Moderate LD, Moderate GS-High LD, High GS-Moderate LD, and High GS-High LD, respectively; SEM = 0.453) were not affected by GS, LD, or their interaction. Dry matter intake, milk and its component yields, and heat energy (MJ/day) were higher (P < 0.05) for does than for doelings, but BCS and milk protein and fat concentrations were lower (P < 0.05) for does. Blood nonesterified fatty acid concentration was not affected by any diets, but there was interaction (P < 0.05) between GS and LD for betahydroxybutyric acid concentration. In conclusion, minor to moderate magnitudes of difference in nutritional planes during gestation and lactation had little effect on reproductive and lactation performance, reflecting the considerable capacity of lactating dairy goats for compensatory changes such as feed intake and tissue mobilization and accretion.

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Section: Discussionsupporting

confidence: 68%

Interaction between gestational plane of nutrition and lactation diet composition on lactation performance of Alpine goats of different parities

Ribeiro,

Patra,

Puchala

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…However, few studies analyzed the spatial distribution and change characteristics of the CPC from a spatial perspective. With respect to research related to sensitive factors, most scholars tended to discuss them at the theoretical level [14][15][16][17][18][19], proposing that factors such as the scale of land management, labor, technical conditions, and the economic environment significantly affect the CPC. Furthermore, many scholars conducted quantitative analyses [15,16], where the research methods primarily included descriptive statistical analysis, the double logarithmic linear regression model, stochastic frontier cost function model, etc.…”

Section: Introductionmentioning

confidence: 99%

Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China

Ouyang

Yang

et al. 2022

Applied Sciences

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The corn production cost (CPC) in China is related to national food security. However, there are few studies on the temporal and regional differences (TRD) and sensitive factors in the CPC. In this paper, the TRD of the corn production cost across various regions, as well as over the entirety of the country from 2008 to 2018, is presented. It is based on the GIS exploratory spatial data analysis method (ESDA). Simultaneously, a spatial panel model is established to conduct an empirical analysis of the main factors affecting the CPC. The results from the period in question show that the CPC in China and the three major production regions present a fluctuating growth trend, mainly associated with the increase in labor prices. Moreover, the CPC exhibits significant spatial differences, and demonstrates an overall trend of gradual increase from the east to the west. Over time, the number of relatively high-cost provinces has increased. All are located in southern mountainous and hilly corn areas. In addition, the CPCs of various regions are spatially correlated. Factors such as the scale of land management, the degree of mechanization, and socioeconomic conditions have a significantly negative impact on the CPC in China. Furthermore, the labor structure has a notably positive impact on the CPC.

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Dietary fatty acid and starch content and supplemental lysine supply affect energy and nitrogen utilization in lactating Jersey cows

Morris

Kononoff

2021

Journal of Dairy Science

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Factors that affect heat production in lactating Jersey cows

Cited by 6 publications

References 36 publications

Interaction between gestational plane of nutrition and lactation diet composition on lactation performance of Alpine goats of different parities

Interaction between gestational plane of nutrition and lactation diet composition on lactation performance of Alpine goats of different parities

Temporal and Regional Differences and Empirical Analysis on Sensitive Factors of the Corn Production Cost in China

Dietary fatty acid and starch content and supplemental lysine supply affect energy and nitrogen utilization in lactating Jersey cows

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