東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Spectral reflectance indices for est...

Gutierrez-Rodriguez, Mario.

Linked to FindBook

Google Book

Amazon

博客來

Spectral reflectance indices for estimating yield and water content in spring wheat genotypes under well irrigated, water stress, and high temperature conditions.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Spectral reflectance indices for estimating yield and water content in spring wheat genotypes under well irrigated, water stress, and high temperature conditions./
Author:	Gutierrez-Rodriguez, Mario.
Description:	159 p.
Notes:	Source: Dissertation Abstracts International, Volume: 70-09, Section: B, page: 5400.
Contained By:	Dissertation Abstracts International70-09B.
Subject:	Agriculture, Agronomy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3372168
ISBN:	9781109347760

Spectral reflectance indices for estimating yield and water content in spring wheat genotypes under well irrigated, water stress, and high temperature conditions.
Gutierrez-Rodriguez, Mario.

Spectral reflectance indices for estimating yield and water content in spring wheat genotypes under well irrigated, water stress, and high temperature conditions. - 159 p.

Source: Dissertation Abstracts International, Volume: 70-09, Section: B, page: 5400.

Thesis (Ph.D.)--Oklahoma State University, 2009.

Scope and Method of Study. Alternative methods for selecting, detecting, and identifying higher yielding genotypes in wheat breeding programs are important for obtaining major genetic gains. The water indices can be used as an indirect selection tool because of their strong association with different physiological and yield components. Diverse spring wheat advanced lines were used, which corresponded to three international trials developed by the International Maize and Wheat Improvement Center (CIMMYT); 24th Elite Spring Wheat Yield Trial (ESWYT) with 25 lines, 11th Semi-Arid Wheat Yield Trial (SAWYT) with 40 lines, and 11th High Temperature Wheat Yield Trial (HTWYT) with 18 lines. Two other experiments also employed advanced lines for testing the relationship between water indices and water content parameters (10-16 lines) and for evaluating the influence of morphological traits (20 lines) over the water indices. Several water indices and other reflectance indices were estimated at three growth stages (booting, heading, and grain filling) using a field portable spectrometer (Analytical Spectral Devices, Boulder, CO). Field plots were planted in Northwest Mexico during three growing seasons (2006, 2007, and 2007). Grain yield, biomass, and some water status parameters were determined in diverse experiments.

ISBN: 9781109347760Subjects--Topical Terms:

1018679
Agriculture, Agronomy.

Spectral reflectance indices for estimating yield and water content in spring wheat genotypes under well irrigated, water stress, and high temperature conditions.
LDR:03724nam 2200349 4500 001 1397889
005 20110907152216.5
008 130515s2009 ||||||||||||||||| ||eng d
020 $a 9781109347760
035 $a (UMI)AAI3372168
035 $a AAI3372168
040 $a UMI $c UMI
100 1 $a Gutierrez-Rodriguez, Mario. $3 1676747
245 1 0 $a Spectral reflectance indices for estimating yield and water content in spring wheat genotypes under well irrigated, water stress, and high temperature conditions.
300 $a 159 p.
500 $a Source: Dissertation Abstracts International, Volume: 70-09, Section: B, page: 5400.
500 $a Adviser: Arthur R. Klatt.
502 $a Thesis (Ph.D.)--Oklahoma State University, 2009.
520 $a Scope and Method of Study. Alternative methods for selecting, detecting, and identifying higher yielding genotypes in wheat breeding programs are important for obtaining major genetic gains. The water indices can be used as an indirect selection tool because of their strong association with different physiological and yield components. Diverse spring wheat advanced lines were used, which corresponded to three international trials developed by the International Maize and Wheat Improvement Center (CIMMYT); 24th Elite Spring Wheat Yield Trial (ESWYT) with 25 lines, 11th Semi-Arid Wheat Yield Trial (SAWYT) with 40 lines, and 11th High Temperature Wheat Yield Trial (HTWYT) with 18 lines. Two other experiments also employed advanced lines for testing the relationship between water indices and water content parameters (10-16 lines) and for evaluating the influence of morphological traits (20 lines) over the water indices. Several water indices and other reflectance indices were estimated at three growth stages (booting, heading, and grain filling) using a field portable spectrometer (Analytical Spectral Devices, Boulder, CO). Field plots were planted in Northwest Mexico during three growing seasons (2006, 2007, and 2007). Grain yield, biomass, and some water status parameters were determined in diverse experiments.
520 $a Findings and Conclusions. There were high correlations (phenotypic and genetic) between grain yield and the water indices showing high heritability, response to selection and correlated response, relative selection efficiency, and efficiency in selecting the higher yielding genotypes. Two water indices showed the strongest relationships (NWI-1 and NWI-3) for all the parameters determined in the well irrigated, water stress, and high temperature environments. In addition, the water indices were related with parameters commonly employed for assessing the crop water status ( i.e., water potential) during booting, anthesis and grain filling under water stress conditions. Finally, our results demonstrated that the relationship between the water indices and grain yield was affected mainly by erect leaves and spike orientation. The potential for employing the water indices for selecting high yielding lines represents a significant advantage in breeding programs because the top yielding lines can be selected in an accurate, inexpensive, and easy manner. In addition, the best high yielding lines maintained high canopy water content under water stress conditions.
590 $a School code: 0664.
650 4 $a Agriculture, Agronomy. $3 1018679
650 4 $a Agriculture, Plant Culture. $3 1018669
650 4 $a Remote Sensing. $3 1018559
690 $a 0285
690 $a 0479
690 $a 0799
710 2 $a Oklahoma State University. $b Plant & Soil Science. $3 1272627
773 0 $t Dissertation Abstracts International $g 70-09B.
790 1 0 $a Klatt, Arthur R., $e advisor
790 1 0 $a Reynolds, Matthew P. $e committee member
790 1 0 $a Raun, William R. $e committee member
790 1 0 $a Stone, Marvin L. $e committee member
790 1 0 $a Emslie, Gordon A. $e committee member
790 $a 0664
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3372168