000			02872nab a22003137a 4500
999			_c59227 _d59219
001			59227
003			MX-TxCIM
005			20220919220817.0
008			180209b2017 wiu|||p| p||| 00| 0 eng d
024	8		_ahttps://doi.org/10.2134/agronj2017.05.0268
040			_aMX-TxCIM
041			_aeng
100	1		_96385 _aWoli, P.
245	1		_aSimulated bermudagrass production and nitrate leaching affected by El Niño Southern oscillation, soil and clipping frequency
260			_aMadison, WI : _bCrop Science Society of America, _c2017.
500			_aPeer review
520			_aCoastal bermudagrass [Cynodon dactylon (L.) Pers.] is the basis for many forage production systems in the southern United States. The agro-environmental studies on this grass, however, are limited for this region. This study, using the Decision Support System for Agrotechnology Transfer (DSSAT) crop model, assessed the bermudagrass dry matter (DM) yield and N-leaching responses to clipping interval, soil type, and El Niño-Southern Oscillation (ENSO) in the Pineywoods region of Texas. The response variables were simulated for various scenarios including two soil types, five clipping intervals, and 74 yr of weather data. The simulation results showed that with an increase in clipping interval, DM yield increased, whereas N leaching decreased, each at a diminishing rate. Bermudagrass DM yields were less, whereas N leaching was greater over a soil with high runoff potential, compared with a soil whose runoff potential was moderate. Of the three ENSO phases, El Niño had the lowest DM yields and the greatest N leaching. The bermudagrass model tended to overestimate N leaching and underestimate DM yields by a larger magnitude for a longer clipping interval and for a soil with higher runoff potential and higher wilting points. The results suggested that using clipping intervals shorter than 4 wk on any soil in any year might not be beneficial from both agronomic and environmental perspectives. The findings of this study might be helpful to Coastal bermudagrass producers in this region in identifying soil- and weather-specific clipping frequencies for optimizing forage production while minimizing the nitrate contamination of ground water.
546			_aText in English
591			_aPequeno, D. N. L. : No CIMMYT Affiliation _bCIMMYT Informa : 2010 (April 4, 2018)
650		7	_93096 _aDecision support systems _2AGROVOC
650		7	_96389 _aCynodon dactylon _2AGROVOC
700	1		_96386 _aRouquette, F. M.
700	1		_96387 _aLong, C. R.
700	1		_96388 _aGowda, P.
700	1		_8001710201 _aPequeno, D.N.L. _gSocioeconomics Program _gSustainable Agrifood Systems _96381
773	0		_gv. 109, no. 6, p. 2649-2661 _tAgronomy Journal _w444482
856	4		_uhttp://libcatalog.cimmyt.org/Download/reprints/59227.pdf _yAccess only for CIMMYT Staff
942			_2ddc _cJA _n0