2011
DOI: 10.1016/j.agwat.2010.11.002
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A simple irrigation scheduling approach for pecans

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Cited by 25 publications
(13 citation statements)
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“…These K c-ref values gave extremely poor predictions of K c (R 2 =0.002) (Figure 1a) and therefore ET (R 2 =0.71 and MAPD=43%) (Figure 1c), with underestimations at the start and end of the season and overestimations in the middle of the season. However, when K c-ref values were adjusted for the local climate with GDD, as suggested by Samani et al (2011), using a simple polynomial function developed by Sammis et al (2004), a much better estimate of monthly ET totals was obtained (R 2 =0.74 and MAPD=8%) for the mature pecan orchard (Figure 1d). This improvement was particularly evident towards the end of the season, as the season in New Mexico ends with a sudden killing freeze, resulting in rapid leaf drop.…”
Section: Resultsmentioning
confidence: 99%
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“…These K c-ref values gave extremely poor predictions of K c (R 2 =0.002) (Figure 1a) and therefore ET (R 2 =0.71 and MAPD=43%) (Figure 1c), with underestimations at the start and end of the season and overestimations in the middle of the season. However, when K c-ref values were adjusted for the local climate with GDD, as suggested by Samani et al (2011), using a simple polynomial function developed by Sammis et al (2004), a much better estimate of monthly ET totals was obtained (R 2 =0.74 and MAPD=8%) for the mature pecan orchard (Figure 1d). This improvement was particularly evident towards the end of the season, as the season in New Mexico ends with a sudden killing freeze, resulting in rapid leaf drop.…”
Section: Resultsmentioning
confidence: 99%
“…Initial modelling exercises to predict pecan ET from the mature orchard at Cullinan using the model of Samani et al (2011) and K c-ref values for New Mexico, offset by 6 months for southern hemisphere seasons, did not prove to be very successful. These K c-ref values gave extremely poor predictions of K c (R 2 =0.002) (Figure 1a) and therefore ET (R 2 =0.71 and MAPD=43%) (Figure 1c), with underestimations at the start and end of the season and overestimations in the middle of the season.…”
Section: Resultsmentioning
confidence: 99%
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“…Even though remote sensing is still a developing science, significant advances have been made in this field, and a more detailed coverage and updated literature in the book could provide valuable information for water management professionals. While describing crop coefficients, the authors omitted pecans, a major agricultural crop in the southern and southwestern United States and Mexico. In recent years, significant advances in measuring and estimating pecan ET and Kc have been reported (Samani et al, 2011). Also, some inconsistencies were noted the in Kc tables.…”
mentioning
confidence: 99%