&lt;b&gt;Performance of dairy heifers grazing on &lt;i&gt;Urochloa decumbens&lt;/i&gt; pastures deferred for two periods&lt;/b&gt;

Teixeira, Fábio Andrade; Silva, Fabyano Fonseca e; Bonomo, Paulo; Pires, Aureliano José Vieira; Nascimento, Paulo Válter Nunes; Neto, João Gonçalves

doi:10.4025/actascianimsci.v36i1.21759

Cited by 3 publications

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References 14 publications

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“…Water limitations accompanied by low N is the main constraint to wheat yield and has widely been reported to affect the leaf water relations, Chl fluorescence and photosynthetic processes leading to the restricted plant growth rate, early senescence, reduced grain filling duration (GFD) with limited grain weight and poor crop productivity (Madani et al, 2010;Mobasser et al, 2014). An adequate assessment of the impacts of drought stress under different N levels on the physiological activities and yield attributes can provide the valuable insights for wheat cultivation under drought stress (Teixeira et al, 2014). Efficient nitrogen nutrition has the potential to alleviate drought stress in crops by maintaining metabolic activities even at low tissue water potential.…”

Section: Introductionmentioning

confidence: 99%

Nano-fertilizer prevents environmental pollution and improves physiological traits of wheat grown under drought stress conditions

et al. 2021

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Nano fertilizers offer benefits in nutrition management through their strong potential to increase nutrient use efficiency. Traditional fertilizers are not only costly for the producer but may be harmful to humans and the environment. Furthermore, nano fertilizers may also be used for enhancing abiotic stress tolerance. This study was performed on the evaluation of nano chelated nitrogen and urea fertilizers on the physiological characteristics of wheat under drought stress conditions. Experiments were carried out in two locations in Fars province, Iran. The experimental design was performed as a split-split plot in RCBD design. The first factor included irrigation treatments (normal and withholding irrigation at the flowering stage), sub factor was nitrogen treatment (0, 37, 74 and 110 k g.ha-1) in the form of Urea fertilizer, and sub-sub factor was nitrogen (0, 14, 27 and 41 kg.ha-1) in the form of nano chelated nitrogen fertilizer. Studied traits were RWC, Ion Leakage, Protein, Phosphorus and Potassium content, Remobilization and photosynthesis rate. According to the analysis of variances, stress, nitrogen (urea) and nano chelated nitrogen had significant effects on all studied traits. Mean comparisons showed that drought stress led to 13% reduction in RWC, 21% Ion Leakage, 26% Protein, 13% Phosphorus and 26% Potassium content, 22% Remobilization and 69% photosynthesis rate compared to normal irrigation. In conclusion Application of 41 kg.ha-1 nano chelated nitrogen fertilizer in comparison with urea led to increase 4% in Rwc, 3% Ion leakage, 52% protein, 26% phosphor, 6% potassium, 6% Remobilization and 21% photosynthesis rate compared to control, respectively.

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Section: Introductionmentioning

confidence: 99%

Nano-fertilizer prevents environmental pollution and improves physiological traits of wheat grown under drought stress conditions

et al. 2021

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Uso de pastagem diferida e não diferida no período seco

Publio,

Pires,

Conceição

et al. 2023

Braz. J. of Sci.

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Objetivou-se com esta revisão, averiguar o uso de pastagem diferida e não diferida, no período seco, como ferramenta para manter o desempenho dos animais ao longo do ano. Em regiões de clima tropical, que englobam a maior parte do território brasileiro, a produção de forragem é caracterizada por dois períodos distintos: das águas e da seca. Essa estacionalidade afeta tanto a produção quanto a qualidade da forragem, resultando em efeitos negativos sobre o desempenho animal e na produção por área. Diante dessas circunstâncias é preciso usar estratégias para minimizar o déficit de forragem durante a estacionalidade, principalmente no período seco do ano. Uma das estratégias é o diferimento de pastagem, prática que incide em não utilizar uma área de pastagem por um determinado período, sendo a primeira técnica de maior facilidade e de grande viabilidade, principalmente pelo baixo custo de implantação. Esse manejo consiste em vedar aproximadamente 40% das áreas de pastagens no início de fevereiro para utilização no mês de maio a julho; e o restante será vedado no início de Março para utilização de Agosto a meados de Outubro. Assim, o uso da pastagem é feito de forma mais eficiente e com melhor valor nutritivo ao longo do período de utilização do pasto diferido. A escolha da espécie forrageira, quanto à época de diferimento e utilização do pasto diferido deve ser analisada em cada caso particular, levando em consideração o conhecimento dos padrões de crescimento e desenvolvimento da planta no ambiente em que se encontra. A redução no período em que o pasto permanece diferido e a realização da adubação com Nitrogênio (N2), são práticas de manejo que podem contribuir para melhorar o valor nutritivo da forragem. O uso tanto da pastagem diferida quanto da não diferida são alternativas viáveis para o período seco. A escolha dos sistemas é dependente das condições climáticas de cada região, do objetivo do produtor e do nível tecnológico da propriedade rural. O desempenho dos animais é limitado durante o período seco, em ambos os sistemas, sendo observado resultados positivos quando a suplementação é utilizada. Quando se optar pelo diferimento, deve-se observar o período do diferimento, a altura inicial do diferimento e o uso da adubação nitrogenada aliado ao diferimento escalonado.

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Feed Intake of Growing Dairy Heifers Raised under Tropical Conditions: A Model Evaluation Using Meta-Analysis

Busanello

Sousa

Mendonça

et al. 2021

Animals

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Several models for predicting dry matter intake (DMI) of replacement dairy heifers have been developed; however, only a few have been evaluated using data from heifers of different breeds raised under tropical conditions. Thus, the objective of this study was to evaluate the DMI equations for dairy heifers managed under tropical conditions. A total of 230 treatment means from 61 studies using dairy heifers (n = 1513 heifers, average body weight = 246 kg) were used. The animals were grouped into two groups based on their genetics: (1) Bos taurus (Holstein, Jersey, Brown Swiss, and Holstein × Jersey) and (2) crossbred (Bos taurus × Bos indicus). Seven previously published DMI equations (HH, HHJ, QUI, STA, 2001 NRC, OFLin, and OFNLin) for heifers were evaluated using mean bias, slope bias, mean squared prediction errors (MSPE) and its decomposition, and other model evaluation statistics. For Bos taurus heifers, our results indicated that OFNLin and HHJ had lower mean bias (0.13 and 0.16 kg/d, respectively) than other models. There was no significant slope or mean bias for HHJ and OFNLin (p > 0.05), indicating agreement between the observed and predicted DMI values. All other models had a significant mean bias (p < 0.05), whereas the QUI model also presented a significant slope bias (p < 0.02). For crossbred heifers, the STA equation was the only one that did not present mean and slope bias significance (p > 0.05). All other DMI models had significant mean bias when evaluated using crossbred data (p < 0.04), and QUI, OFLin, and OFNLin also presented significant slope bias (p < 0.01). Based on our results, predictions from OFNLin and HHJ best represented the observed DMI of Bos taurus heifers (MSPE ≤ 1.25 kg2/d2, mean bias ≤ 0.16 kg/d), whereas STA was the best model for crossbred heifers (MSPE = 1.25 kg2/d2, mean bias = 0.09 kg/d). These findings indicate that not all available models are adequate for estimating the DMI of dairy heifers managed under a tropical climate, with HHJ and OFNLin for Bos taurus and STA for crossbreds being the most suitable models for DMI prediction. There is evidence that models from Bos taurus heifers could be used to estimate the DMI of heifers under tropical conditions. For heifer ration formulation is necessary to consider that DMI is influenced by breed, diet, management, and climate. Future work should also include animal genetic and environmental variables for the prediction of DMI in dairy heifers.

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<b>Performance of dairy heifers grazing on <i>Urochloa decumbens</i> pastures deferred for two periods</b>

Cited by 3 publications

References 14 publications

Nano-fertilizer prevents environmental pollution and improves physiological traits of wheat grown under drought stress conditions

Nano-fertilizer prevents environmental pollution and improves physiological traits of wheat grown under drought stress conditions

Uso de pastagem diferida e não diferida no período seco

Feed Intake of Growing Dairy Heifers Raised under Tropical Conditions: A Model Evaluation Using Meta-Analysis

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