Prediction of critical periods for weed interference in soybean | [electronic resource] (Record no. 66269)

MARC details
000 -LEADER
fixed length control field 02420nab a22002657a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 202511s2020 ua ||||ss|||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EAL
Transcribing agency EAL
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
Language code of summary or abstract ara
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) ART MUJPP V11 No1 4
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Absy, R.
9 (RLIN) 21999
240 10 - UNIFORM TITLE
Uniform title Mansoura University journal of plant production, 2020 v. 11 (1)
Medium [electronic resource]
245 10 - TITLE STATEMENT
Title Prediction of critical periods for weed interference in soybean
Medium [electronic resource]
246 15 - VARYING FORM OF TITLE
Title proper/short title التنبؤ بالفترات الحرجة لمنافسة الحشائش فى فول الصويا
300 ## - PHYSICAL DESCRIPTION
Extent 25-34 p.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographic reference
520 ## - SUMMARY, ETC.
Summary, etc. Ten competition periods as treatments (T1-10) could be valuable for predicting increase productivity<br/>(W) T1 to T5 were allowed to infest the crop and (WF) T6 to T10 was kept weed free, weed competition<br/>periods for W and WF i.e. 3, 6, 9, 12 Weeks after emergence (WAE) and up to harvest. So, two field<br/>experiments were conducted season 2018 and 2019. Critical Periods for Weed Control (CPWC) was<br/>determined based on relative percentage yield ton/h-1 (SY %) of weed free as a check by fitting curves<br/>regression models (linear and non-linear, which recommended losing yield value 10%. with seed yield<br/>reduction t/h-1 declined from 2.3, 2.28 WF to 0.39- 0.36 W as a checked treatment for 1st, 2nd seasons,<br/>respectively about 83.33%, 85% due to relative seed yield. Gompertz as a non linear regression equation<br/>recorded 0.99* The effects of treatment classified into 3 groups where A involved 5 superior treatments (T1, T7, T8, T9 and T10). However, T4 and T5 described inferior treatments which located in group C. Low of weed density and increasing of weed index (WI %) 80% observed for 1st season of T4 but T5 was translocated with increasing both weeds number and severed for weed index. It could be summarized that it should be keeping crop weed-free during stages 2nd week and continue until 8th week after crop emergence, which is providing maximum seed yield of soybean.
546 ## - LANGUAGE NOTE
Language note Summary in Arabic
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Soybean
General subdivision Weed control
9 (RLIN) 30260
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Weeds
9 (RLIN) 30261
General subdivision Control
653 00 - NAL Term
Uncontrolled term yield losses
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Yacoub, I. H.
9 (RLIN) 24967
773 0# - HOST ITEM ENTRY
Title Mansoura University Journal of Plant Production.
Related parts 2020.v.11(1)
International Standard Serial Number 2090-3669
Control subfield nnas
Record control number u183247
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://nile.enal.sci.eg/EALE/2020/MUJPP/1120/1/25.pdf
Public note Full Text Article
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme alc
Articles AR
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Date last seen Price effective from Koha item type
    Alphabetical Classification     Main Main 11/25/2020   ART MUJPP V11 No1 4 11/25/2020 11/25/2020 Articles

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