Respiration during the drying of hay

Wood, JG; Parker, John N.

doi:10.1016/s0021-8634(71)80013-6

Cited by 50 publications

(15 citation statements)

References 6 publications

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“…1) were similar to those reported previously for both alfalfa and bermudagrass packaged under similar conditions (Coblentz et al, 1996, 2000). Plant enzymatic activity and the respiratory activity of microorganisms associated with plants in the field have been associated with the initial heating phase (Roberts, 1995; Hlodversson and Kaspersson, 1986; Wood and Parker, 1971). For all treatments, initially elevated bale temperatures partially subsided by Day 2 of storage.…”

Section: Resultsmentioning

confidence: 99%

Changes in Nutritive Value of Bermudagrass Hay during Storage

et al. 2002

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Relatively little is known about storage of wet (>200 g kg−1 moisture) bermudagrass [Cynodon dactylon (L.) Pers.] hay. Our objective was to assess the changes in nutritive value of bermudagrass hay as a function of hay moisture, storage time, and spontaneous heating. ‘Greenfield’ bermudagrass was grown on a Pickwick silt loam soil (fine‐silty, mixed, semiactive, thermic Typic Paleudult) and packaged in conventional rectangular bales at 219, 265, and 302 g kg−1 moisture [low‐moisture (LM), medium‐moisture (MM), and high‐moisture (HM) bales, respectively]. Concentrations of most fiber and fiber‐associated N components increased (P < 0.05) during storage, but these changes occurred primarily during the first 12 d. A nonlinear model Y=α−βnormale−kt2 was used to describe the changes in neutral detergent fiber (NDF), acid detergent fiber, lignin, neutral detergent–insoluble N, and acid detergent–insoluble N (ADIN) during storage. The total changes (β) in NDF were 93.1, 69.5, and 67.8 g kg−1 for HM, MM, and LM bales, respectively. Respective asymptotic maxima for NDF (α) in these treatments were 777, 757, and 739 g kg−1. For ADIN, respective asymptotic maxima (α) reached 3.17, 1.83, and 1.71 g kg−1 for HM, MM, and LM bales, respectively. On Day 65, ADIN exceeded 10% of the entire N pool in both HM and MM bales. The nutritive value of bermudagrass hay baled and stored at >200 g kg−1 moisture deteriorates during storage, and the greatest deterioration occurs during the first 12 d after baling.

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Section: Resultsmentioning

confidence: 99%

Changes in Nutritive Value of Bermudagrass Hay during Storage

et al. 2002

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“…Respiration rate declines as DM concentration increases above about 200 g kg"' and ceases at a DM concentration between 700 and 800 g kg"'. Wood and Parker (1971) found a linear relationship between respiration rate and DM concentration in ryegrass. However, other workers have found a sharper decline as DM concentration rises above 200 g kg"'.…”

Section: Aerobic Respiration Of Ihe Plant Materialsmentioning

confidence: 88%

“…Respiration rate in ryegrass (Lolium multifiorum) approximately doubles wi th each 10°C rise in temperature between 5'C and 25°C, and remains approximately constant between 25°C and 45X (Wood and Parker, 1971). The relative respiration rale as a function of temperature, as given by Wood and Parker, was where T = absolute temperature.…”

Section: Aerobic Respiration Of Ihe Plant Materialsmentioning

confidence: 94%

A quantitative model of the ensilage process in lactate silages

Pitt

Muck

Leibensperger

1985

Grass and Forage Science

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A model of the ensilage process is presented which can be used to predict silage quality in lactate silages. The model simulates the major microbial and biochemical processes during ensilage, including aerobic respiration, hydrolysis of hemicellulose. growth and death of lactic acid bacteria and their production of lactic and acetic acids, reduction in pH, change in soluble sugar content, increase in osmotic potential, and proteolysis. The model is designed to operate on mixtures of grasses, legumes, or whole‐plant corn. Parameters for the model are developed from published silage experiments and pure‐culture bacterial studies. The model gives reasonably accurate predictions of key silage quality parameters, but further experimental work is needed on growth of lactic acid bacteria and on plant‐enzyme proteolysis. Predicted final pH depends primarily on the pH at which bacterial growth and death rates are equal. Initial bacterial concentration affects the time to rapid pH change, while maximum bacterial growth rate affects the rate of decline thereafter.

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“…Other studies have shown no net change in DM during wilting (25) or DM gains (45,69). Specific studies on respiration have shown that in general respiration rate declines with decreasing moisture content and increasing plant ma-turity (26, 73,77,91,98). Physiological studies using attached and detached leaves have also shown that respiration falls with increasing water stress (8,62).…”

Section: The Field Stagementioning

confidence: 99%