New and Renewed Breeding Methodology

The study of the interaction between parasitoid and host, especially the age of these organisms, is an important step towards the implementation of biological control programs. Therefore, we investigated the performance of Ooencyrtus submetallicus (Hymenoptera: Encyrtidae) and Trissolcus sp. aff. urichi (Hymenoptera: Scelionidae) parasitizing eggs of Nezara viridula (Hemiptera: Pentatomidae), considering different ages of the parasitoids and the host. We performed four laboratory bioassays: two using females of O. submetallicus and Trissolcus sp. aff. urichi at 24, 48, 72, 96, 120, or 144 hours of age exposed to parasitism in N. viridula eggs (24 h) and two trials with N. viridula eggs at 24, 48, 72, 96, 120, or 144 hours exposed to the parasitism of O. submetallicus and Trissolcus sp. aff. urichi (24 h). We evaluated the percentage of parasitism and emergence, life cycle length, progeny, sex ratio, and the longevity of the parasitoids. The parasitism of O. submetallicus in N. viridula eggs was influenced by the age of the parasitoid, 120 hours being the minimum to obtain better parasitism. From this age on, there is interference in the longevity of the progeny. Trisolcus sp. aff. urichi, at all ages, parasitized N. viridula eggs relatively well, but with almost no emergence of the parasitized eggs. Females of O. submetallicus parasitized and developed in eggs of N. viridula of all ages. Females of Trissolcus sp. aff. urichi parasitized their host, but there was barely any emergence. These pieces of information regarding the breeding methodology contribute to the implementation of new protocols for the multiplication of these parasitoids in the laboratory, and later, their release in the field.

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Breeding Methodology Meets Sustainable Agriculture

International Journal of Plant Breeding and Genetics ◽

10.3923/ijpbg.2013.1.20 ◽

2012 ◽

Vol 7 (1) ◽

pp. 1-20 ◽

Cited By ~ 3

Author(s):

M. Koutsika-S ◽

A.L. Tsivelikas ◽

Ch. Gogas ◽

I.G. Mylonas ◽

I. Avdikos ◽

...

Keyword(s):

Sustainable Agriculture ◽

Breeding Methodology

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Effect of Direction and Distance on Cross Pollination in Egyptian Cotton (Gossypium barbadense L.)

Experimental Agriculture ◽

10.1017/s0014479700023516 ◽

1972 ◽

Vol 8 (1) ◽

pp. 67-71 ◽

Cited By ~ 1

Author(s):

Hassan E. Galal ◽

H. A. Abou-El-Fittouh ◽

Gadd Morshed

Keyword(s):

Linear Relation ◽

Gossypium Barbadense ◽

Cotton Breeding ◽

Cross Pollination ◽

Breeding Methodology ◽

Egyptian Cotton ◽

Cross Fertilization

SUMMARYThe effect on cross pollination of four directions and six distances from the marker variety in Egyptian cotton was investigated. The percentage of cross pollination did not differ appreciably in the different directions but there were significant differences in cross fertilization among the six distances. A linear relation was observed between cross pollination per cent and distance up to 8.8 m. from the marker variety. Implications of these findings on various aspects of cotton breeding methodology are discussed.

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Breeding Methodology

Red Clover Science - Current Plant Science and Biotechnology in Agriculture ◽

10.1007/978-94-015-8692-4_12 ◽

1996 ◽

pp. 141-160 ◽

Cited By ~ 2

Author(s):

N. L. Taylor ◽

K. H. Quesenberry

Keyword(s):

Breeding Methodology

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Tools for transforming wheat breeding: genomic selection, rapid generation advance and database-based decision support.

Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield ◽

10.1079/9781789245431.0011 ◽

2021 ◽

pp. 213-224

Author(s):

Umesh R. Rosyara ◽

Kate Dreher ◽

Bhoja R. Basnet ◽

Susanne Dreisigacker

Keyword(s):

Machine Learning ◽

Decision Support ◽

Genomic Selection ◽

Rapid Evolution ◽

Wheat Breeding ◽

Learning Methods ◽

Machine Learning Methods ◽

Breeding Methodology ◽

Rapid Generation Advance ◽

Rapid Generation

Abstract This chapter discusses the increased implications in the current breeding methodology of wheat, such as rapid evolution of new sequencing and genotyping technologies, automation of phenotyping, sequencing and genotyping methods and increased use of prediction and machine learning methods. Some of the strategies that will further transform wheat breeding in the next few years are also presented.

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