THE IMPORTANCE OF BORAX IN LEGUME SEED PRODUCTION IN THE SOUTH

Soil Science ◽  
1944 ◽  
Vol 57 (1) ◽  
pp. 75-84 ◽  
Author(s):  
J. R. PILAND ◽  
C. F. IRELAND ◽  
H. M. REISENAUER ◽  
FIRMAN E. BEAR
Keyword(s):  
Seed Production ◽  
The South ◽  
Legume Seed

Undersowing wheat with annual legumes: Effects on wheat yields and legume seed yields in the south-eastern wheat belt of Western Australia

1970 ◽  
Vol 10 (42) ◽  
pp. 84 ◽  
Author(s):  
ML Poole ◽  
JW Gartrell
Keyword(s):  
Seed Yield ◽  
Western Australia ◽  
Seed Set ◽  
Wheat Yield ◽  
The South ◽  
Legume Seed ◽  
Mixed Stands ◽  
South Eastern ◽  
Different Response ◽  
Seed Yields

Ten annual Trifolium and Medicago cultivars were sown at low (1-6 lb an acre) and high (3-18 lb an acre) seeding rates with wheat crops in five trials in the south-eastern wheatbelt of Western Australia. Wheat and legume seed yields from these mixed stands were compared with stands of the same rates of wheat and legume sown alone. Sowing the legumes with the crop reduced wheat yields by from 7.4 bushels an acre (25 per cent) in one trial to 1.5 bushels an acre (5 per cent) in another. The evidence did not suggest which factors caused the different response. Legume seed production under the crop was severely reduced in all trials. In 30 of the 44 comparisons made it was reduced by more than 50 per cent, and in 13 cases by more than 75 per cent. In 9 cases the amount of seed set under the crop was less than 30 lb an acre. In most cases trebling the amount of legume seed sown under the crop greatly increased legume seed yield but caused only a small (less than one bushel per acre) further decrease in wheat yield.

scholarly journals Legume seed production for sustainable seed supply and crop productivity: case of groundnut in Tanzania and Uganda

2020 ◽  
Vol 34 (4) ◽  
pp. 518-539 ◽  
Author(s):  
Essegbemon Akpo ◽  
Geoffrey Muricho ◽  
Gerald Alex Lukurugu ◽  
Hellen Opie ◽  
Chris O. Ojiewo ◽  
...  
Keyword(s):  
Seed Production ◽  
Crop Productivity ◽  
Legume Seed ◽  
Seed Supply

scholarly journals Methods of reducing ripgut brome seed production and carcass damage

2008 ◽  
pp. 265-269 ◽  
Author(s):  
K.N. Tozer ◽  
A.J. Marshall ◽  
G.R. Edwards
Keyword(s):  
Weed Control ◽  
Seed Production ◽  
Annual Grass ◽  
The South ◽  
Bromus Diandrus ◽  
Test Strategies ◽  
Grass Weed

Ripgut brome (Bromus diandrus) is an annual grass weed prevalent in dry, hill and high country regions throughout the South Island. Its large seeds contaminate wool and carcasses. Two studies were undertaken in 2006/2007 to test strategies to control and mitigate its impacts. The first study (South Canterbury) tested different rates and timing of application of herbicides on ripgut brome. Keywords: annual grass weeds, weed control, weed mitigation, ripgut brome, Bromus diandrus

scholarly journals Possibilities Forage Legume Seed Production in Turkey

2017 ◽  
Vol 5 (5) ◽  
pp. 280-283
Author(s):  
Aybegün Ton ◽  
Adem Emin Anlarsal
Keyword(s):  
Seed Production ◽  
Forage Legume ◽  
Legume Seed

Mixed mating in Banksia media

2002 ◽  
Vol 50 (5) ◽  
pp. 627 ◽  
Author(s):  
S. J. Wooller ◽  
R. D. Wooller
Keyword(s):  
Seed Production ◽  
Inbreeding Depression ◽  
Western Australia ◽  
Fruit Set ◽  
Mating Strategy ◽  
South Coast ◽  
Mixed Mating ◽  
The South ◽  
Self Pollination ◽  
Mixed Mating Strategy

Differential exclusion of vertebrates and invertebrates from the inflorescences of Banksia media R.Br. on the south coast of Western Australia showed the species to be partially self-compatible. Access by invertebrates increased fruit set and additional access by vertebrates resulted in even greater fruit set. Honeyeater birds and marsupial nectarivores were abundant and widespread in the study area and most carried the pollen of Banksia media while it flowered. However, although B. media had the floral characteristics attributed to vertebrate pollination, self-pollination and pollination by insects clearly also play major roles in seed production. Banksia media regenerates solely from seed released after fire and we suggest that its mixed mating strategy is a compromise between inbreeding depression and risk of elimination from areas prone to occasional fires.

Relationships between age and biomass of individual plants and seed production in two grazed tropical legumes. 2. Validation of models

2002 ◽  
Vol 53 (2) ◽  
pp. 107
Author(s):  
C. K. McDonald ◽  
R. M. Jones
Keyword(s):  
Seed Production ◽  
Research Station ◽  
Demographic Model ◽  
Legume Seed ◽  
Production Models ◽  
Tropical Legumes ◽  
Legume Plant ◽  
Grass Biomass ◽  
Predicted Values ◽  
Stylosanthes Scabra

Relationships predicting legume seed production from total legume biomass and from age and biomass of individual legume plants in a grazing trial at CSIRO Narayen Research Station, in south-eastern Queensland, were compared with observed soil seed measurements over 9 years. This was part of a larger project to develop a demographic model of tropical perennial forage legumes in grazed pastures. Suitable data were available from Chamaecrista rotundifolia–Cenchrus ciliaris pastures stocked at 0.54 and 1.09 head/ha and from Stylosanthes scabra– C. ciliaris pastures at 1.09 head/ha. Use of legume plant age and biomass, in conjunction with grass biomass (C. rotundifolia) or kg legume/head (S. scabra), to predict soil seed accounted for 87% (C. rotundifolia) and 77% (S. scabra) of the variation in observed values, and gave accurate and unbiased predictions. Prediction of soil seed from total legume biomass was better correlated with observed values for S. scabra (r2 = 0.72) than for C. rotundifolia(r2 = 0.63), but over-predicted values for S. scabraand under-predicted those for C. rotundifolia. The results highlight that, with C. ciliaris, the grass biomass needs to be kept below 3000 kg/ha to maintain a C. rotundifolia population. Similarly, the results indicate that biomass of S. scabra may need to be kept below 400 kg/head to avoid the possibility of S. scabra dominance, depending on the companion grass. Application of the seed production models in assessing the agronomic adaptation of these legumes and in predicting persistence of legumes and other species (e.g. weeds) is discussed.

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