Performance of turfgrass under supplemental irrigation and rain‐fed conditions in the <scp>C</scp>entral <scp>G</scp>reat <scp>P</scp>lains of <scp>USA</scp>

Islam, M. Anowarul; Obour, Augustine K.; Krall, James M.; Cecil, Jack T.; Nachtman, Jerry

doi:10.1111/grs.12018

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…NDVI peaks were observed for rain-fed crops in high SPEI years, in which the precipitation was relatively heavy. The finding was in line with previous research showing that the condition of rain-fed crops highly depended on precipitation [59,60]. As shown in Figure 9, Xinjiang experienced severe drought in 2008 and 2014 when the temperature was high, the precipitation was low and the SPEI was high.…”

Section: Analysis Of Ndvi Change Trends and Effects Of Climate Factors To Vegetationsupporting

confidence: 92%

Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades

et al. 2021

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Climate change has proven to have a profound impact on the growth of vegetation from various points of view. Understanding how vegetation changes and its response to climatic shift is of vital importance for describing their mutual relationships and projecting future land–climate interactions. Arid areas are considered to be regions that respond most strongly to climate change. Xinjiang, as a typical dryland in China, has received great attention lately for its unique ecological environment. However, comprehensive studies examining vegetation change and its driving factors across Xinjiang are rare. Here, we used the remote sensing datasets (MOD13A2 and TerraClimate) and data of meteorological stations to investigate the trends in the dynamic change in the Normalized Difference Vegetation Index (NDVI) and its response to climate change from 2000 to 2019 across Xinjiang based on the Google Earth platform. We found that the increment rates of growth-season mean and maximum NDVI were 0.0011 per year and 0.0013 per year, respectively, by averaging all of the pixels from the region. The results also showed that, compared with other land use types, cropland had the fastest greening rate, which was mainly distributed among the northern Tianshan Mountains and Southern Junggar Basin and the northern margin of the Tarim Basin. The vegetation browning areas primarily spread over the Ili River Valley where most grasslands were distributed. Moreover, there was a trend of warming and wetting across Xinjiang over the past 20 years; this was determined by analyzing the climate data. Through correlation analysis, we found that the contribution of precipitation to NDVI (R2 = 0.48) was greater than that of temperature to NDVI (R2 = 0.42) throughout Xinjiang. The Standardized Precipitation and Evapotranspiration Index (SPEI) was also computed to better investigate the correlation between climate change and vegetation growth in arid areas. Our results could improve the local management of dryland ecosystems and provide insights into the complex interaction between vegetation and climate change.

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Section: Analysis Of Ndvi Change Trends and Effects Of Climate Factors To Vegetationsupporting

confidence: 92%

Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades

et al. 2021

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“…Stem texture in second‐year perennial ryegrass turf, sometimes referred to as stemminess, is often visually estimated but the proportion of stems is difficult to determine (Figure 4) (Islam et al., 2013). Stems in the TGS environment were manually counted within the image and compared with computer‐generated proportions, which yielded a high correlation in both environments ( r p > 0.88, P < .001).…”

Section: Resultsmentioning

confidence: 99%

“…Winter injury was measured in a similar manner to that used in SPS. Stem texture was measured visually on a 1 to 9 scale (Islam, Obour, Krall, Cecil, & Nachtman, 2013) and through stem counts in plots (stems 0.5 m −2 ).…”

Section: Data Collectionmentioning

confidence: 99%

Predictive ability of perennial ryegrass spaced‐plant nurseries for turfgrass and seed production swards in Minnesota

2020

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Turf-type perennial ryegrass (Lolium perenne L.) success depends on adequate turfgrass quality and economical seed yield. In most breeding programs, spaced plants are the initial unit of selection in which observations of related individuals dictate the selection of superior germplasm for further testing. Therefore, spaced plants must be predictive of seed production and turfgrass growing environments. This study investigated the effectiveness of standard (three plants m −2 ) and competitive (23 plants m −2 ) spaced-plant nurseries as selection environments with respect to two sward environments as well as applying a novel image analysis technique for several key traits. Seed production, turfgrass, and the two spaced-plant growing environments were tested at two locations in Minnesota. Turfgrass quality traits were measured in 2017 and 2018 and seed production traits were measured in 2018. Automated image analysis was able to predict the traditional visual scoring values at both locations for crown rust (Puccinia coronata f.sp. lolii) severity [Pearson's correlation (r p ) > 0.79, P < .001], winter injury (r p > 0.89, P < .001), and turfgrass texture (r p > 0.88, P < .001). Increasing the competition among spaced plants altered the plant phenotype and improved accuracy for vegetative biomass, crown rust severity, seed yield, and, at one location, turfgrass quality. There was no benefit of increasing competition for several traits such as genetic color, fertile tillers, and spikelet number. Although the competitive design was not useful for all traits, pragmatically, the competitive design used less space and often made measurements and observations easier for bunch-type grasses.

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Investigating tradeoffs in perennial ryegrass turfgrass performance and seed yield capacity in the US Midwest

Heineck,

Ehlke,

Watkins

2024

Agrosystems Geosci & Env

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Understanding the trade‐offs between improving turfgrass performance and seed production capacity would improve acceptance and accelerate the release of new perennial ryegrass (Lolium perenne L.) cultivars. An experiment was designed to measure the turfgrass quality, seed yield, and component traits among 20 perennial ryegrass entries grown in turfgrass and seed production swards at two locations in Minnesota, a seed production region of the United States. Turfgrass quality scores, when averaged across collection dates, were not strongly correlated with seed yield at either location. However, data from several individual turfgrass quality rating dates were moderately correlated with seed yield at both locations (p < 0.100). Within the dates that correlated with seed yield, turfgrass component traits were regressed against quality scores. Crown rust severity, color, and density were important in the first year, and winter injury and texture were important in the second year. Plots with more fertile tillers were associated with higher seed yield and lower turfgrass quality (p < 0.050), but there was no relationship between entries in the two growing environments for fertile tiller production (p > 0.250). Entries that exhibited a faster vertical growth rate in turfgrass swards tended to mature earlier in seed plots, a trait that was correlated with higher seed yield (p < 0.001). However, the vertical turfgrass growth rate was not directly correlated with seed yield (p > 0.800). Few tradeoffs between the growing environments were found under the growing conditions and germplasm employed.

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Performance of turfgrass under supplemental irrigation and rain‐fed conditions in the Central Great Plains of USA

Cited by 3 publications

References 14 publications

Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades

Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades

Predictive ability of perennial ryegrass spaced‐plant nurseries for turfgrass and seed production swards in Minnesota

Investigating tradeoffs in perennial ryegrass turfgrass performance and seed yield capacity in the US Midwest

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