Results 11 to 20 of about 52,046 (256)

Color and Coatings [PDF]

open access: yesPhotonicsViews, 2021
AbstractOptical thickness determination of very thin layers is based on measuring the reflectance and evaluating with a fit algorithm. Any fit algorithm however needs initial values for the parameters that need not to be far away from the expected final parameter values.
Faiza Houta, Michael Quinten
openaire   +1 more source

MC03g0810, an Important Candidate Gene Controlling Black Seed Coat Color in Bitter Gourd (Momordica spp.)

open access: yesFrontiers in Plant Science, 2022
Seed coat color is one of the most intuitive phenotypes in bitter gourd (Momordica spp.). Although the inheritance of the seed coat color has been reported, the gene responsible for it is still unknown.
Jian Zhong   +19 more
doaj   +1 more source

PMEL p.Leu18del dilutes coat color of Kumamoto sub-breed of Japanese Brown cattle

open access: yesBMC Genomics, 2022
Background Coat color is important for registration and maintenance of livestock. Standard coat color of Kumamoto sub-breed of Japanese Brown cattle is solid brown, but individuals with diluted coat color have been observed recently.
Satoshi Kimura   +11 more
doaj   +1 more source

Identification of candidate genes for soybean seed coat-related traits using QTL mapping and GWAS

open access: yesFrontiers in Plant Science, 2023
Seed coat color is a typical morphological trait that can be used to reveal the evolution of soybean. The study of seed coat color-related traits in soybeans is of great significance for both evolutionary theory and breeding practices. In this study, 180
Yue Yang   +11 more
doaj   +1 more source

Genome-wide association study of seed coat color in sesame (Sesamum indicum L.).

open access: yesPLoS ONE, 2021
Sesame (Sesamum indicum L.) is an important and ancient oilseed crop. Sesame seed coat color is related to biochemical functions involved in protein and oil metabolism, and antioxidant content.
Chengqi Cui   +9 more
doaj   +1 more source

Identification of genetic loci conferring seed coat color based on a high-density map in soybean

open access: yesFrontiers in Plant Science, 2022
Seed coat color is a typical evolutionary trait. Identification of the genetic loci that control seed coat color during the domestication of wild soybean could clarify the genetic variations between cultivated and wild soybean.
Baoqi Yuan   +11 more
doaj   +1 more source

Effects of Storage and Roasting Condition on the Antioxidant Activity of Soybeans with Different Colors of Seed Coat

open access: yesFoods, 2022
The DPPH radical scavenging activity and ORAC value of soybeans (yellow soybean, blue soybean, and black soybean) were increased by roasting at above 190 °C.
Takako Koriyama   +3 more
doaj   +1 more source

Coat Color and Coat Color Related Genes in Pigs

open access: yesNihon Chikusan Gakkaiho, 2001
ブタは約7千年前にヨーロッパや近東,アジア各地で独立に家畜化されたと考えられている.その毛色には,野生型,均一な黒,均一な赤,黒斑あるいは黒ドミノ斑,白地または赤地に黒斑,黒や赤の駁毛,黒地に白のポイント,白,セピア,糟毛または灰色,青等があり,アグーチ,ダイリューション,エクステンション,白色,ホワイトヘッドまたはヘレフォードと呼ばれる遺伝子座が推定されている.動物の毛色関連遺伝子として,エンドセリンおよびエンドセリンレセプター,受容体型チロシンキナーゼKITとそのリガンドSCF,転写因子であるMITF,メラニンの合成に関与するチロシナーゼおよび関連タンパク質,メラノサイト刺激ホルモンレセプター(MC1R)とαMSH,アグーチタンパク質等が考えられている ...
OKUMURA, Naohiko, MITSUHASHI, Tadayoshi
openaire   +2 more sources

Expression of Coat Color Associated Genes in Korean Brindle Cattle by Microarray Ana

open access: yesJournal of Animal Reproduction and Biotechnology, 2015
The aim of the present study was to identify coat color associated genes that are differentially expressed in mature Korean brindle cattle (KBC) with different coat colors and in Hanwoo cows.
Hae-Lee Lee, Jae-Hee Park, Jong Gug Kim
doaj   +1 more source

Effect of a wear-resistant resin coat on the color stability of a resin-modified glass ionomer restorative material

open access: yesJournal of Indian Society of Pedodontics and Preventive Dentistry, 2021
Aim: The purpose of this in vitro study was to evaluate the effect of the Equia Forte Coat on the color stability of Equia Forte Fil. Materials and Methods: Sixty discs of Equia Forte Fil were randomly divided into two groups. One group of 30 samples was
Madhu Mohan   +2 more
doaj   +1 more source

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