Optimizing soybean plant population for a short-season production system in the southern USA

Citation
Ra. Ball et al., Optimizing soybean plant population for a short-season production system in the southern USA, CROP SCI, 40(3), 2000, pp. 757-764
Citations number
25
Categorie Soggetti
Agriculture/Agronomy
Journal title
CROP SCIENCE
ISSN journal
0011183X → ACNP
Volume
40
Issue
3
Year of publication
2000
Pages
757 - 764
Database
ISI
SICI code
0011-183X(200005/06)40:3<757:OSPPFA>2.0.ZU;2-I
Abstract
Soybean [Glycine max (L.) Merr.] production systems that utilize short-seas on cultivars for double cropping and late sowing often have insufficient ti me to establish a complete canopy prior to reproductive development. Our ob jectives were to evaluate plant population as a tool to manage crop growth, maximum biomass (BM), the time required for canopy closure, and yield, Fie ld tests were sown on 8 July 1997 and 26 June 1998 at Keiser, AR (35 degree s 67' N, 90 degrees 83' W) in 0.19-, 0.57-, and 0.95-m rows with maturity g roup IV soybean cultivars Asgrow 4922 (A4922) and Manokin. Yield from irrig ated and nonirrigated treatments increased as population density increased from 7 to 134 plants m(-2), except when lodging occurred. Populations recom mended for early-season sowing (25-35 plants m(-2)) resulted in many plots not achieving 90% light interception (LI), especially in 1998 when weather was hotter and drier than in 1997, The time required after emergence to beg in linear crop growth (t(b)) was dependent on LI, and as density increased, tb decreased. The values of t(b) varied from 16 to 27 d in 1997 and 22 to 37 d in 1998, with up to 12 d difference in achieving >90% LI, In this shor t-season production system, yield, crop growth rate between R1 and R5, BM, and t(b) were dependent upon the early establishment of a high LI, Losses a ttributable to excessive delays in canopy establishment and slow crop growt h could be minimized by using high populations in narrow rows, Our research indicates that higher populations than are traditionally recommended provi de a way to optimize grain yields in time-constrained systems.