scholarly journals Impact of Forcing Summer Asparagus in Coastal South Carolina on Yield, Quality, and Recovery from Harvest Pressure

1994 ◽  
Vol 119 (3) ◽  
pp. 396-402 ◽  
Author(s):  
Robert J. Dufault
Keyword(s):  
South Carolina ◽  
Harvest Time ◽  
Market Prices ◽  
Yield And Quality ◽  
June July August ◽  
Yield Quality ◽  
June July ◽  
Spring Harvest ◽  
First Time ◽  
July August September

The objective of this study was to determine the effect of forcing summer asparagus (May to October) and age at first harvest after transplanting on yield and quality. Ten-week-old `UC 157 F1' asparagus seedlings were field-planted on Sept. 1986 and forced to emerge from 1988 to 1992 by mowing fern in separate replicated plots in May, June, July, August, September, or October. Forcing treatments were not spring-harvested. Forced yields were compared to normal spring harvests (emerging from January to April). Harvesting began for the first time ≈18 or 30 months after transplanting. Spring 1988 yields were greatest of all, but declined yearly for 5 years. Summer forcing in either July or August maintained acceptable yields through 1992. The warmer climate during summer forcing caused most plants to reach the prescribed cutting pressure (eight spears per plant) within a standard 6-week harvest season. Cooler temperatures during spring harvest seasons slowed spear emergence and prevented the plants from reaching prescribed cutting pressure. Forcing in May and June was too stressful to plant recovery after the harvest season by reducing fern regrowth and increasing plant death. Cooler temperatures during October forcing inhibited spear emergence. Forcing in September yielded less than forcing in July and August, but September asparagus would command higher market prices. There was no advantage at any harvest time to delay first harvests from 18 to 30 months after transplanting. Forcing in July through September has potential as an alternative enterprise in coastal South Carolina.

INVESTIGATION AND EVALUATION OF NOISE LEVEL IN THE NORTHERN PART OF KLAIPEDA CITY/TRIUKŠMO LYGIO ŠIAURINĖJE KLAIPĖDOS MIESTO DALYJE TYRIMAI IR ĮVERTINIMAS/ИССЛЕДОВАНИЕ И АНАЛИЗ ШУМОВОГО УРОВНЯ В СЕВЕРНОЙ ЧАСТИ ГОРОДА КЛАЙПЕДЫ

2008 ◽  
Vol 16 (2) ◽  
pp. 89-96 ◽  
Author(s):  
Vaidotas Vaišis ◽  
Tomas Januševičius
Keyword(s):  
Noise Level ◽  
Heavy Traffic ◽  
Motor Vehicles ◽  
Noise Levels ◽  
June July August ◽  
The World ◽  
Noise Measurements ◽  
June July ◽  
July August September

The problem of noise is topical not only in Lithuania but the world over as well. The northern part of Klaipeda city is distinct for its industry and heavy traffic in the streets. Noise research was carried out in 17 selected measurement locations in the northern part of Klaipeda city. Noise measurements were taken in May, June, July, August, September, October and November. The measurements were made three times during the day: in the day time from 6 a.m. till 6 p.m., in the evening from 6 p.m. till 10 p.m. and at night from 10 p.m. till 6 a.m. The locations of the measurements are marked on the map. In order to distinguish the source of bigger noise between industry and transport, the northern part was divided into two belts. Industry is prevalent in the first belt, whereas the main troublemakers in the second belt are motor vehicles. The measured noise level is compared with permissible standards in measurement locations, where noise level is usually exceeded, and the analysis of noise levels is presented. In order to show the spread of noise in Klaipeda at all three times of the day more vividly, maps of isolines were compiled. Santrauka Triukšmas - ne tik Lietuvoje, bet ir visame pasaulyje aktuali problema. Klaipedos miesto šiaurine dalis yra išskirtine savo pramone ir intensyviu eismu gatvese. Triukšmo tyrimai atlikti šiaurineje Klaipedos miesto dalyje, 17‐oje pasirinktu matavimo vietu. Triukšmas matuotas gegužes, birželio, liepos, rugpjūčio, rugsejo, spalio ir lapkričio menesiais. Matavimai atlikti trimis paros laikais: diena nuo 6–18 valandos, vakare nuo 18–22 valandos ir nakti nuo 22–6 valandos. Matavimo vietos pateiktos žemelapyje. Siekiant nustatyti, kas kelia didesni triukšma ‐ pramone ar transportas, šiaurine miesto dalis suskirstyta i dvi zonas. Pirmojoje zonoje vyrauja pramone, o antrojoje zonoje pagrindinis triukšmo šaltinis automobiliai. Išmatuotas triukšmo lygis palygintas su leistinosiomis normomis. Pateikta matavimo vietu, kuriose dažniausiai viršijamas triukšmo lygis, triukšmo lygiu analize. Siekiant aiškiau parodyti, kaip triukšmas pasiskirsto Klaipedos mieste visais trimis paros laikais, sudaryti izoliniju žemelapiai. Резюме Шум является актуальной проблемой не только в Литве, но и во всем мире. Северная часть города Клайпеды является промышленным районом с интенсивным транспортным движением. Для исследования шума в этой части города было выбрано 17 мест замера. Шум измерялся с мая по ноябрь. Измерения проводились 3 раза в разное время суток: днем в 6–18 ч, вечером в 18–22 ч и ночью в 22–6 ч. Места замеров показаны на карте. С целью установить, что является бóльшим источником шума – промышленные предприятия или транспортные средства, северная часть города была поделена на две зоны. В первой зоне преобладали промышленные предприятия, а во второй – транспорт. Измеренный уровень шума сравнивался с разрешенным нормами. Для мест замеров, в которых чаще всего уровень шума превышал норму, предлагался анализ уровня шума. Для лучшего представления о распределении шума в городе Клайпеде в разное время суток были созданы карты изолиний.

scholarly journals The diurnal cycle of the clouds extending above the tropical tropopause observed by spaceborne lidar

2020 ◽  
Vol 20 (6) ◽  
pp. 3921-3929 ◽  
Author(s):  
Thibaut Dauhut ◽  
Vincent Noel ◽  
Iris-Amata Dion
Keyword(s):  
Diurnal Cycle ◽  
Warm Pool ◽  
Cloud Fraction ◽  
Vertical Extent ◽  
Tropical Tropopause ◽  
June July August ◽  
Thin Cloud ◽  
June July ◽  
Stratospheric Clouds ◽  
First Time

Abstract. The presence of clouds above the tropopause over tropical convection centers has so far been documented by spaceborne instruments that are either sun-synchronous or insensitive to thin cloud layers. Here we document, for the first time through direct observation by spaceborne lidar, how the tropical cloud fraction evolves above the tropopause throughout the day. After confirming previous studies that found such clouds most frequently above convection centers, we show that stratospheric clouds and their vertical extent above the tropopause follow a diurnal rhythm linked to convective activity. The diurnal cycle of the stratospheric clouds displays two maxima: one in the early night (19:00–20:00 LT) and a later one (00:00–01:00 LT). Stratospheric clouds extend up to 0.5–1 km above the tropopause during nighttime, when they are the most frequent. The frequency and the vertical extent of stratospheric clouds is very limited during daytime, and when present they are found very close to the tropopause. Results are similar over the major convection centers (Africa, South America and the Warm Pool), with more clouds above land in DJF (December–January–February) and less above the ocean and in JJA (June–July–August).

11 Invivo-derived embryo pregnancy rates at Maddox Dairy from 2008 to 2018

2020 ◽  
Vol 32 (2) ◽  
pp. 130
Author(s):  
D. Demetrio ◽  
A. Magalhaes ◽  
M. Oliveira ◽  
R. Santos ◽  
R. Chebel
Keyword(s):  
Pregnancy Rate ◽  
Embryo Transfer ◽  
Milk Production ◽  
Pregnancy Rates ◽  
The Other ◽  
Lactating Cows ◽  
June July August ◽  
June July ◽  
Management Changes ◽  
July August September

Maddox Dairy, located in Riverdale, CA, USA, is a Holstein herd that milks 3500 cows with a 305-day mature-equivalent milk production of 12 800 kg, and they have been producing high genetic animals by embryo transfer (ET) since the early 1980s. Invivo-derived embryos from Holstein donors were transferred fresh (grade 1 or 2) or frozen (grade 1), at morula (4), early blastocyst (5), or blastocyst (6) stage, to virgin heifers (VH, natural oestrus, 13-15 months old) or lactating cows (LC, Presynch-Ovsynch, 86 days in milk, first or second lactation) 6 to 9 days after oestrus. Pregnancy diagnosis was done by transrectal ultrasonography at 32-46 days in VH and by the IDEXX PAG test at 30 days in LC. June, July, August, September, and October were called critical months (first service AI conception rate drops below 44%) and compared with the other months. The data from 32 503 ETs between January 2008 and December 2018 are summarised on Table 1. Pregnancy rates (PR) are lower for LC recipients than for VH. Embryo transfers performed 7 or 8 days after oestrus had higher PR in both types of recipients and embryos, but Day 6 and 9 oestrus are also used with fair results. The season does not seem to affect PR. There is not enough difference in the combination of stage and days from oestrus for invivo-derived embryos. These numbers do not belong to a planned experiment. Several management changes during the years were made, which make it very difficult to apply statistical methods to analyse the data correctly. They are used as a tool to make decisions in an attempt to improve future results. Table 1.Pregnancy rate (PR) of virgin heifers (top) and lactating cows (bottom)-fresh (SH) and frozen (OZ) invivo-derived embryo transfer1 Heat-months SH-ST4 SH-ST5 SH-ST6 SH-All OZ-ST4 OZ-ST5 OZ-ST6 OZ-All PR% n PR% n PR% n PR% n PR% n PR% n PR% n PR% n Heifers 6 d-CM 62 934 66 243 68 69 63 1246 56 473 58 219 62 42 57 734 6 d-OM 62 1623 67 489 69 211 64 2323 56 600 55 296 48 137 55 1033 6 d-T 62 2557 67 732 69 280 63 3569 56 1073 57 515 51 179 56 1767 7 d-CM 64 1506 68 495 67 221 65 2222 60 822 62 340 63 156 61 1318 7 d-OM 66 2723 68 1021 69 510 67 4254 57 1120 59 581 57 231 58 1932 7 d-T 66 4229 68 1516 69 731 67 6476 58 1942 60 921 60 387 59 3250 8 d-CM 65 1348 64 518 67 322 65 2188 59 595 64 258 63 108 61 961 8 d-OM 66 2166 68 886 70 510 67 3562 61 770 60 364 51 130 60 1264 8 d-T 66 3514 67 1404 69 832 66 5750 60 1365 62 622 56 238 60 2225 9 d-CM 60 109 56 43 70 20 60 172 60 5 33 6 50 4 47 15 9 d-OM 58 129 63 57 60 40 60 226 63 16 50 18 75 4 58 38 9 d-T 59 238 60 100 63 60 60 398 62 21 46 24 63 8 55 53 All-CM 64 3897 66 1299 67 632 65 5828 58 1895 61 823 63 310 60 3028 All-OM 65 6641 67 2453 69 1271 66 10 365 58 2506 58 1259 53 502 58 4267 All-T 65 10 538 67 3752 69 1903 66 16 193 58 4401 60 2082 57 812 59 7295 Lactating cows 6 d-CM 54 265 48 86 50 12 53 363 38 141 31 77 50 10 36 228 6 d-OM 49 463 52 203 45 56 50 723 46 101 48 54 59 27 48 182 6 d-T 51 728 51 289 46 68 51 1086 41 242 38 131 57 37 42 410 7 d-CM 54 755 59 274 56 103 55 1137 43 928 48 450 43 192 45 1570 7 d-OM 55 914 66 367 54 109 58 1393 46 1052 45 564 47 353 46 1969 7 d-T 55 1669 63 641 55 212 57 2530 45 1980 46 1014 46 545 45 3539 8 d-CM 63 252 68 82 76 33 65 368 48 219 56 80 42 33 50 332 8 d-OM 61 257 64 161 53 47 61 466 50 191 53 77 56 16 51 284 8 d-T 62 509 65 243 63 80 63 834 49 410 55 157 47 49 50 616 All-CM 56 1272 58 442 60 148 57 1868 44 1288 47 607 43 235 45 2130 All-OM 55 1634 62 731 51 212 56 2582 47 1344 46 695 48 396 47 2435 All-T 55 2906 60 1173 55 360 57 4450 45 2632 47 1302 46 631 46 4565 1ST=stage; CM=critical months (June, July, August, September, and October); OM=other months.

scholarly journals Papers from the several magnetic observatories established in India, addressed to the Secretary of the Royal Society, by direction of the Honourable East India Company

1843 ◽  
Vol 4 ◽  
pp. 382-383
Keyword(s):  
Royal Society ◽  
The State ◽  
East India Company ◽  
Magnetic Observatory ◽  
June July August ◽  
Meteorological Observations ◽  
June July ◽  
Magnetic Observatories ◽  
July August September

1. From the Magnetic Observatory at Madras:— Magnetic and Meteorological Observations for October, November and December 1841; as also for January 1842. Term-day Observations for October and November, and Curves for August, September, October and November 1841. Observations of the Direction and Force of the Wind, and the state of the Sky, during October and November 1841. Extraordinary Magnetic Curves for September, October and December 1841. 2. From the Magnetic Observatory at Singapore:— Magnetic Observations from March to October, 1841, with Curves for the same period. Anemometer Curves for March, April, May, June, July, August, September and October 1841.

THE EFFECT OF TIME OF INITIAL CUTTING ON FORAGE YIELD AND QUALITY OF THREE PASTURE GRASSES AT SHIKA, NIGERIA

2021 ◽  
Vol 26 ◽  
pp. 93-97
Author(s):  
O. S. Onifade ◽  
A. M. Adamu ◽  
E. C. Agishi
Keyword(s):  
Dry Matter ◽  
Nutritive Value ◽  
Forage Yield ◽  
Panicum Maximum ◽  
Brachiaria Decumbens ◽  
Yield And Quality ◽  
June July August ◽  
Pasture Grasses ◽  
June July

The effect of time of cutting on yield and nutritive value of three year old pastures of signal (Brachiaria decumbens), green panic (Panicum maximum var. trichoglume) and buffel (Cenchrus ciliaris ev. Gayndah) grasses were studied. The pastures were harvested for hay yield on 5th November, 1977 and allowed to rest until subjection to initial cut in June, July, August or September, 1978. Immediately after the July cut, all the plots received 100kg N/ha and 40kg P205/ha. Regrowths from the initial cuts and the control (uninterrupted growth) were all cut on 16th November, 1978. The dry matter (DM) yields of the grasses increased with increasing stage of maturity. Signal grass was more productive (P < 0.05) (17.3t/ha) than the other grasses averaged over the cutting dates. The yields of green panic and buffel grasses were 8.3 and 11.0t/ha respectively. The regrowth DM yields declined with a delay in the initial cut. Except for the increases in CP (6.9%) and IVDMD (50.1%) contents of the primary growth in August, these parameters declined as the grasses aged. Deferring the initial cutting date resulted in significant (P < 0.05) increases in CP and IVDMD contents of the regrowths. Percent increases as a result of cutting at the different date over the control for DM and CP yield were 28 and 74, respectively. Further evaluation of the three species in grazing trial is suggested. 

scholarly journals Dependence of Rainfall on Solar Activity Features

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Mahesh Chandra Mathpal ◽  
Bimal Pande ◽  
Seema Pande
Keyword(s):  
Solar Activity ◽  
Statistical Analysis ◽  
Sunspot Number ◽  
June July August ◽  
June July ◽  
July August September

In the present paper, we have studied the statistical analysis between all India homogeneous rainfall (RF) with sunspot number (SN) during 1900-2014 (115-year period). We have calculated correlations coefficient of rainfall with sunspot number (SN) for annual and seasonal months: January, February (JF); March April May (MAM); June July August September (JJAS) and October November December (OND) and we have obtained high correlation ranging between 0.75 to 0.95. Our results show that rainfall is strongly influenced by sunspot number. Our study also indicates that occurrence of solar activity features play an important role for variability of rainfall.

scholarly journals Distribution Trend of the Bottom Water at the Bay Mouth of Jiaozhou Bay

2019 ◽  
Vol 136 ◽  
pp. 06013
Author(s):  
Dongfang Yang ◽  
Haoyuan Ren ◽  
Dong Yang ◽  
Haixia Li ◽  
Jing Fang
Keyword(s):  
High Temperature ◽  
Water Temperature ◽  
Bottom Water ◽  
Water Mass ◽  
Jiaozhou Bay ◽  
Temperature Zone ◽  
Bottom Water Temperature ◽  
June July August ◽  
June July ◽  
July August September

Based on the survey data of Jiaozhou Bay in May, June, July, August, September and October of 1980, the bottom water temperature and its horizontal distribution in Jiaozhou Bay were studied. The results showedthat the bottom water temperaturein Jiaozhou Bay rangedat a high level between 12.35℃to 25.72℃and a low level between 10.18℃to 24.58 ℃in May, June, July, August, September and October. From May to October, the bottom water temperature in Jiaozhou Bay was moderately high. In May, June, July and August, a high temperature zone formed around the waterinside the bay mouth, and the bottom water temperaturereached 12.35℃to 25.72℃.From May to August, the bottom water temperaturefirst increased in the watersinside the bay mouth, followed by the water at the bay mouth, withthe water outside the bay mouthas the end. In September and October, the temperature of the eastern coastal water outside Jiaozhou Bay ranged from 20.00℃to 24.43℃, and a high temperature zone formed around there. From September to October,the bottom water temperaturefirst decreased in the water inside the bay mouth, followed by the water at the bay mouth, with the water outside the bay mouthas the end. According to Yang Dongfang's definition of “Cryogenic Low Water Mass”, a cryogenic water mass formed in the bottom water at the bay mouthin September and extended widely among the water inside the bay mouth-at the bay mouth-in the southern part outside the bay mouthwith a temperature of 23.79℃to 23.91℃.

scholarly journals Emergence and Control of Rottboelia spp. in Different Months in Sugarcane Cultivation1

2016 ◽  
Vol 34 (2) ◽  
pp. 229-238 ◽  
Author(s):  
M.H. INOUE ◽  
T.B. MERTENS ◽  
K.F. MENDES ◽  
P.A. CONCIANI ◽  
F.S. SANTOS ◽  
...  
Keyword(s):  
Experimental Design ◽  
Population Density ◽  
Block Design ◽  
Sugarcane Cultivar ◽  
Sulfometuron Methyl ◽  
June July August ◽  
Randomized Block Design ◽  
June July ◽  
And Control ◽  
July August September

ABSTRACT This study aimed to evaluate the control of Rottboelia spp. with the formulated mixture diuron + hexazinone + sulfometuron-methyl and the emergence of this weed in the months of April, May, June, July, August, September, October and November 2012 in sugarcane cultivation, cultivar RB867515. The experimental design consisted of randomized blocks, with treatments in a 4 x 4 factorial arrangement with four replicates for the months of April to November. The emergence tests used a randomized block design, in a 8 x 5 split plot arrangement with four replicates. The analyzed factors were the rates of the formulated mixture (diuron + hexazinone + sulfometuron-methyl), which consisted of: 1,809.00 + 510.00 + 43.50 g ha-1 (T2); 1,507.50 + 425.00 + 36.25 g ha-1 (T3) and 1,386.90 + 391.00 + 33.35 g ha-1 (T4), in addition to the control (T1) without application. Controls over 80.00% were found for the application performed in the month of November in evaluations at 30 and 60 DAA, regardless of the rate in use. All treatments were selective for the sugarcane cultivar RB867515. The tests conducted in the months of August, September, October and November showed the highest population density.

scholarly journals Dependence of Rainfall on Solar Activity Features

2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Mahesh Chandra Mathpal ◽  
Bimal Pande ◽  
Seema Pande
Keyword(s):  
Solar Activity ◽  
Statistical Analysis ◽  
Sunspot Number ◽  
June July August ◽  
June July ◽  
July August September

In the present paper, we have studied the statistical analysis between all India homogeneous rainfall (RF) with sunspot number (SN) during 1900-2014 (115-year period). We have calculated correlations coefficient of rainfall with sunspot number (SN) for annual and seasonal months: January, February (JF); March April May (MAM); June July August September (JJAS) and October November December (OND) and we have obtained high correlation ranging between 0.75 to 0.95. Our results show that rainfall is strongly influenced by sunspot number. Our study also indicates that occurrence of solar activity features play an important role for variability of rainfall.

Sign in / Sign up

Export Citation Format

Share Document