Using Growing-Season Precipitation to Predict Crested Wheatgrass Yields

Currie, Pat O.; Peterson, Geraldine.

doi:10.2307/3895721

Cited by 32 publications

(25 citation statements)

References 3 publications

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“…The season of clipping had no effect on any variable, despite published reports of seasonal variation in carbohydrate and nitrogen reserves of grasses such as A. cristatum (Trlica & Cook 1972;Miller et al 1990;de Kroon & Bobbink 1997). A 10-year experiment in Colorado found that the season of heavy grazing had no effect on forage yield (Currie & Peterson 1966), consistent with our results. Further, A. cristatum persisted after 20 years of annual heavy spring grazing near our study site (Hubbard 1949), even though grazing occurred near the trough of carbohydrate reserves when it should be most deleterious.…”

Section: Discussionsupporting

confidence: 91%

“…Among‐year variation in A. cristatum cover in control plots is related to growing‐season rainfall. Because A. cristatum is least abundant in dry years (Currie & Peterson 1966; Curtin et al 2000; Bakker et al 2002), control efforts might be most successful in dry years. The only reported failures of established stands of A. cristatum (10–17 year old) occurred in arid areas of Utah and Nevada and were attributed to drought (Bleak et al 1965).…”

Section: Discussionmentioning

confidence: 99%

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Extirpation or Coexistence? Management of a Persistent Introduced Grass in a Prairie Restoration

Wilson

Pärtel

2003

Restoration Ecology

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Introduced perennial grasses are one of the greatest constraints to prairie restoration. Herbicides suppress but do not eliminate introduced grasses, so we explored the interaction of herbicide with two additional controls: heavy clipping (to simulate grazing) and competition from native species. A 50‐year‐old stand of the introduced perennial grass Agropyron cristatum (crested wheatgrass) in the northern Great Plains was seeded with native grasses and treated with herbicide annually for 7 years in a factorial experiment. Clipping was applied as a subplot treatment in the final 3 years. Both herbicide and clipping significantly reduced the cover of A. cristatum, but clipping produced an immediate and consistent decrease, whereas herbicide control varied among years. The cover of A. cristatum decreased significantly with increasing cover of a seeded native grass, Bouteloua gracilis (blue grama), suggesting that both top‐down (i.e., grazing) and bottom‐up (i.e., resource competition) strategies can contribute to A. cristatum control. No treatment had any effect on the seed bank of A. cristatum. Even in the most effective control treatments, A. cristatum persisted at low amounts (approximately 5% cover) throughout the experiment. The cover of B. gracilis increased significantly with seed addition and herbicide, and, after 7 years, was similar to that in undisturbed prairie. The total cover of native species increased significantly with clipping and herbicide, and species richness was significantly higher in plots receiving herbicide. Clipping season had no effect on any variable. In summary, no method extirpated A. cristatum, but clipping reduced its cover by 90% and doubled the cover of native species. Extirpation might not be a realistic goal, but relatively simple management allowed coexistence of native species.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Extirpation or Coexistence? Management of a Persistent Introduced Grass in a Prairie Restoration

Wilson

Pärtel

2003

Restoration Ecology

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“…Observations during the study years indicated that differences in characteristics of storms at the watershed and at head- quarters were negligible. Also, results of range research on pastures located near the study area (Currie and Peterson 1966), indicate that differences in rainfall were minor. Measurements of gully peak flows are approximate.…”

Section: Study Methodsmentioning

confidence: 92%

The Fusion of Discontinuous Gullies

Heede¹

1967

International Association of Scientific Hydrology. Bulletin

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“…Therefore, for forage crops, yield prediction research that could be helpful for cultivation management and forage production arrangement is very necessary. Currie and Peterson (1966) used a stepwise regression to predict crested wheatgrass yields using growing-season precipitation in Colorado, USA. Generally, the statistical models are constructed based on long term crop yield records and several climatic variables such as temperature and precipitation (Thompson 1969;Basso et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Constructing Italian ryegrass yield prediction model based on climatic data by locations in South Korea

Peng

Kim

et al. 2017

Grassland Science

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A yield prediction model for Italian ryegrass (IRG) was constructed based on climatic data by locations in South Korea using a general linear model. The sample size of the final dataset was 312 during 25 years. The forage crop and climatic data were collected from the reports of two national research projects on forage crops and Korean meteorological administration, respectively. Five optimal climatic variables were selected through the stepwise multiple regression analysis with dry matter yield (DMY) as the response variable. Subsequently, three climatic variables were selected after considering the interpretability of the five variables. The three selected climatic variables were spring accumulated temperature, mean temperature in January and spring rainfall days. Then, the yield prediction model was constructed based on these three climatic variables using general linear model with the cultivated locations as dummy variables. The model constructed in this research could explain 73.6% of variation in DMY of IRG. The goodness‐of‐fit of the model was tested through residual diagnostics and 10‐fold cross‐validation. For climatic variables, the high partial eta squared value of spring accumulated temperature and spring rainfall may reflect the growth characteristics that spring is the main growing period for IRG and IRG has strong waterlogging tolerance and weak drought tolerance. The results may also support the possibility to sow IRG in the subsequent spring if autumnal seeding was missed in South Korea.

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Using Growing-Season Precipitation to Predict Crested Wheatgrass Yields

Cited by 32 publications

References 3 publications

Extirpation or Coexistence? Management of a Persistent Introduced Grass in a Prairie Restoration

Extirpation or Coexistence? Management of a Persistent Introduced Grass in a Prairie Restoration

The Fusion of Discontinuous Gullies

Constructing Italian ryegrass yield prediction model based on climatic data by locations in South Korea

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